Are you tired of spending hours searching for highlights in multi-hour streams? In a world where stream cutting has become an assembly line for audience growth, choosing the right tool is critical. We will break down the best AI editors so you can package your raw footage into highlights 10 times faster, without watermarks and with maximum efficiency. The main thing is to choose a tool based on your content type, not just a list of features.
Why does the choice of AI editor depend on the source material?
Many reviews miss a key point: each AI editor is designed for a specific type of content. The wrong choice will lead to a waste of time and money. Most AI editors charge based on the duration of the uploaded material, not the number of clips obtained.
For example, a 6-hour stream can “eat up” your entire monthly credit limit.
Key takeaways on AI editors:
Input duration-based pricing: AI editors like OpusClip charge 1 credit per minute of uploaded video. A 6-hour stream will require 360 credits with a Pro plan of 300 credits for $29/month.
Speech dependency: Editors based on transcription (Descript, OpusClip) work great for podcasts but are useless for silent gameplay.
Canva for brands: Good for short branded videos, but has limitations (up to 20 audio clips, AI clips of 6-8 seconds).
Eklipse – leader for gaming: The only one of the five with native game event detection. Clip generation requires a paid plan.
Overview of the best AI editors for video cutting
Each of these tools answers the question: how does it determine which seconds are worth keeping? The answer to this question determines its effectiveness for your content.
Eklipse: For gaming streamers and VODs
Best use case: transforming VODs from Twitch, Kick, or YouTube into vertical clips without manual review of the recording.
Best use case: cutting long interviews, podcasts, or webinars into short vertical clips.
Strengths: Excellent clip selection based on speech. Automatically centers the speaker in the frame.
Limitations: Billing based on the duration of the uploaded video. A 6-hour stream can exceed the monthly credit limit. The free plan is limited to 60 minutes per month.
Ideal creator: Podcaster or interviewer working with recordings from 30 to 90 minutes.
Descript: For educational and scripted videos
Best use case: tutorials, courses, and any content where words come first.
Strengths: Video editing via transcription is an intuitive process. Deleting sentences in the text automatically removes them from the video. The filler word removal feature saves hours.
Limitations: Prices have increased. Limited transcription hours on plans. The free plan exports 720p with a watermark. Requires speech.
Ideal creator: Teacher or solo author whose videos start with a script.
Canva: For branded content
Best use case: Branded social media videos where consistency is more important than in-depth editing.
Strengths: Branding kits, shared templates, free tier with 1080p watermark-free export. Ideal for marketing teams.
Limitations: Limited video editor functionality (up to 20 audio clips, 6-8 second AI clips). Runs slowly on long projects.
Ideal creator: Small marketing team creating consistent, branded content.
How to choose an editor by content type?
The choice of tool should be determined by your workflow and content type.
Streamer: You need highlight detection first, editing second. Eklipse is ideal, CapCut for refining individual clips.
YouTuber: If you’re repurposing long videos into Shorts, start with OpusClip or Descript, using CapCut for final touches.
Podcaster:Descript, without hesitation. Transcription-based editing matches your logic.
Marketing team:Canva. The value is in brand management and shared templates.
If you spend more time looking for clips than creating them, you have a detection problem. If it’s on subtitles and transitions, it’s an editing problem that CapCut or Canva will solve for a fraction of the cost of an AI plan.
Frequently Asked Questions
Which editor is best for cutting game clips?
Eklipse. It’s the only one that analyzes game events and audio peaks, not just speech. This allows it to find highlights even in silent game moments where other editors are powerless. This is important if you want to cut without losing quality.
Can AI automatically resize videos for Reels and Shorts?
Yes. OpusClip, Descript, Eklipse, and CapCut can convert horizontal video to 9:16 format. Quality varies, but most tools can track an object so that the cropping follows the action.
What is the difference between a TikTok editor and a social media editor?
A TikTok editor is optimized for one platform: vertical cropping, trending audio, native subtitles, and short attention spans. A social media editor covers multiple platforms, including horizontal and square formats, brand management, and post scheduling. CapCut is TikTok-focused, while Canva and Descript are multi-platform.
How long does it take to cut a stream?
With the right AI tool, such as Eklipse for game streams, you can get bulk cuts of 100+ clips in minutes after uploading, significantly reducing the time a person who cuts streams would spend manually.
Conclusion
Choosing the right AI editor for stream and podcast clipping is not about finding the “best” tool, but about finding the tool that perfectly matches your source material and workflow. Before subscribing, check two things: how the plan is priced (by upload duration or by clips) and whether the tool can identify moments that are important to you. If your archive consists of VODs from streams, and the problem is that good moments are lost in hours of recording, start with Eklipse. Create an Eklipse account and scan your stream to get your first clips for free and start monetizing your content today!
Forget about bloggers! A new “millionaire” has appeared on the market – micro-dramas. This is not just a trend, it’s real math: reach for pennies and transparent statistics. While Hollywood studios sign contracts and influencers try to fit in, we see how this format is blowing up the market. But is it worth the candle for an arbitrager?
Micro-dramas: Explosive Growth and Billion-Dollar Downloads
According to Mintegral, a platform that “turns engagement into growth with AI,” micro-drama app downloads reached 1.45 billion in the first half of 2026. This is a 95.5% increase from the previous year. In comparison, non-gaming apps showed an average growth of only 16.6%.
Market leaders: FreeReals (195.8 million downloads) and NetShort (98.9 million downloads).
Market context: Educational apps grew by 25.3%, while e-commerce was the only category that showed a decline of 4.4%.
The most interesting thing for us, arbitragers: ad density. Although e-commerce apps showed a larger volume of advertising (13.3 million ads in 12,800 apps), micro-dramas surpassed them in density.
During the same period, 1,887 micro-drama apps placed 3 million ads.
“Micro-dramas had an ad density of 1,100 in Europe, Southeast Asia, and Asia-Pacific, making it the only category to reach that level of density across three regions,” reports Marketing Dive.
In North America, ad density in micro-dramas was 977 ads per app. For comparison, for e-commerce, this figure was 545 in Europe, 804 in Southeast Asia, and 581 in Asia-Pacific.
This suggests that in micro-dramas, banner advertising in video is an unskippable format with huge potential.
Such ad density means that buying reach without creating a video, simply by placing a banner for infobusiness or promoting mobile applications, becomes extremely profitable. This is the lowest CPM in shorts you can find.
Real Math: Watch Time Is More Important Than Downloads
Downloads are good, but for us, reach and watch time are important. An Omdia study in February showed that apps like ReelShort, DramaBox, and FlickReels outperform Netflix, Prime Video, and Disney+ in daily usage time per user.
This means that mass reach for pennies is not a myth, but a reality.
Our experience confirms that testing hypotheses for 1000 rubles in this segment allows you to quickly find working bundles. CPM cheaper than 50 rubles is not fantasy. We are talking about programmatic video banners and automatic placement on hundreds of videos, where a banner without filming becomes your main tool.
Frequently Asked Questions
What are micro-dramas and why are they so popular?
Micro-dramas are short series, often in vertical format, created for viewing on mobile devices. Their popularity is due to the fast pace of life, the convenience of consuming content “on the go,” and a high level of engagement.
How to place banner advertising in micro-dramas?
Banner advertising in micro-dramas is placed through specialized platforms and advertising networks that offer programmatic tools for targeting and automatic placement. This allows you to effectively order banner advertising and get cheap reach.
Can micro-dramas be used to advertise crypto projects?
Yes, high ad density and an active audience make micro-dramas an attractive platform for advertising crypto projects, mobile applications, and infobusiness. The main thing is to choose the right creative and target audience.
Conclusion: Don’t Miss Your Million
Micro-dramas are not just hype, they are a real opportunity for a digital arbitrager to get reach that would have cost a fortune before. Forget about overpaying influencers.
Here, a native banner in Shorts or overlay advertising brings traffic at a CPM cheaper than 50. These are white schemes that work. Start testing hypotheses today before the market overheats. Your next million could be right here. Contact us to find out how we can help you with banner advertising in short videos.
Google’s recent August spam update appears to have targeted mass-generated AI content for SEO. Reports from online sources indicate that part of this update involved the removal of materials created by neural networks solely to manipulate search rankings. This aligns with Google’s recent research on identifying such spam, which is an important clue for anyone involved in AI video for advertising or mass video generation by neural network.
It’s important to understand: using AI itself doesn’t make content spam. However, any material created for the purpose of ranking for keywords often balances on the line between regular content and spam. It seems Google has implemented new mechanisms to detect AI-generated content that crosses this line, which may explain the decline in rankings for many sites actively using neural networks for UGC advertising.
Impact on AI-Generated Content
Experts are actively discussing the consequences of the update. For example,
Oka Takuma (@OkaTakuma1) wrote: “Regarding this Google spam update, it seems that sites automatically publishing content using Claude Code, Codec, etc., are being universally filtered and losing rankings. Google may automatically identify such content by attaching some kind of ‘AI credit,’ similar to generated images or videos.”
He also noted that sites that started with manual publishing and then switched to LLM automation have survived in some cases. This is explained by accumulated domain trust. Sites entirely created with automation from scratch do not have “trust signals” from Google.
Manual Review as a Buffer
Oka Takuma provided an interesting example, mentioning a Japanese magazine that publishes AI-generated content and was not affected by the update. The reason is simple:
“…but so far it has not received any penalties (naturally, we conduct a manual visual review by humans before publishing articles).”
This highlights the importance of human control, even when using technologies such as AI avatar with subtitles or AI voiceovers. Manual review can be a lifeline for AI production by subscription.
Not AI, but the Purpose of Use
Seiichi Satoweb (@seiichi_satoweb) believes that the problem is not with AI content itself, but with its mass production to manipulate search results. He noted:
“Companies managing media should check their rankings from August 18th to 21st. …If it dropped, I think the first thing to suspect is not the quality of the articles, but the ‘mass production method’.”
Google defines malicious use of mass-generated content as creating a large number of pages primarily to manipulate search rankings, rather than to support users. This is critically important for those looking for AI content production or where to order for crypto similar services.
Mass video generation by neural network for SEO purposes can be risky.
AI clips with face swap or AI avatar with subtitles should serve a real purpose.
Focusing on quality, not quantity, is key to survival in Google’s new reality.
“AI Junk” and its Consequences
On forums like Blackhat World, users complain about the prevalence of “AI junk” in search results. One participant wrote:
“They finally realized that AI junk is taking over the SERPs. I recently searched for a quick tutorial on how to change settings in an app and saw 4 sites in a row, clearly AI-generated to create articles answering that question — all looked absolutely identical, with the same AI formatting of subheadings and bullet points, poor spacing between sections, 3 sentences inflated to 500 words. AI junk pages are the new doorways, and Google is struggling to deal with it.”
This confirms that the effectiveness of AI versus real UGC is still questionable when it comes to low-quality content. Generating 100 videos or an AI conveyor of 500 videos per day must be supported by a quality strategy, not just volume.
Google’s New System: S-CTS
Google recently published research on a new system called S-CTS (Scalable Cluster Termination System). This system is designed to identify and terminate networks of AI-generated spam. This means that an AI video factory for e-commerce or video generation from text via mass generation API are now under close scrutiny.
How much does one AI creative cost or the cost of 1 minute of AI video — these metrics now need to be evaluated not only from a production perspective but also from the perspective of potential SEO risks.
Conclusion: The Future of AI Content
Google’s August spam update clearly showed that the era of mindless mass generation of AI content for SEO is coming to an end. Now that AI UGC for crypto projects or creating AI commercials are becoming increasingly accessible, it is critically important to focus on quality, uniqueness, and real value for the user. It’s not just about a neural network writing scripts and editing, but about creating something meaningful and useful.
For those who want to scale their content production, solutions like Synthesia alternatives should be used wisely and supported by a strategy that does not contradict Google’s principles. Only then can sustainable success be achieved in a world where scaling was impossible — now it’s possible, but with an eye on quality.
Frequently Asked Questions
What is “AI junk” in the context of Google?
“AI junk” is low-quality, mass-generated artificial intelligence content created primarily to manipulate search rankings, rather than to provide valuable information to users. It is often characterized by repetitive phrases, poor formatting, and a lack of originality, as in the case of AI video for advertising created without proper oversight.
How does Google distinguish quality AI content from spam?
Google does not penalize the use of AI per se. The main focus is on the purpose of content creation and its value to the user. If an AI avatar with subtitles or AI voiceovers are used to create useful, unique material that has undergone human review, it is not considered spam. The problem arises with mass video generation by neural networks solely for SEO without regard for quality.
What is Google’s S-CTS system?
S-CTS (Scalable Cluster Termination System) is a new Google system designed to identify and terminate networks engaged in AI-generated spam. It is a tool to combat large-scale operations producing low-quality content that use mass generation APIs to create thousands of pages or videos.
Can AI be used to create UGC content?
Yes, neural networks can be used for UGC advertising, but with caution. The key to success is creating valuable and unique content that is perceived as authentic. The effectiveness of AI versus real UGC will depend on how well AI integrates with the creative process and how thoroughly the content is human-reviewed to avoid “AI junk.”
Yandex is opening a new sales channel for sellers without their own online stores, offering a unique opportunity to achieve a profitable CPM. Now their products are available in Search and chat with Alice AI, and purchases happen in one click. Connecting to the service is free, which makes it potentially beneficial for cheap hypothesis testing and finding new traffic sources. It’s important to calculate unit economics to maximize profit.
What does Yandex offer sellers without a website?
The new feature allows sellers without their own website to place products in Yandex search results and Alice AI. This expands opportunities to reach an audience without significant investment in developing an e-commerce platform.
How does it work?
Yandex Commerce Protocol (YCP): the neural network selects relevant products, displaying them as cards.
Yandex Universal Checkout: users make purchases with a “Buy in one click” button.
Beta testing: the feature is currently in test mode.
“Traffic from Alice AI to Russian e-commerce has grown 4.6 times since the beginning of the year. These are not just numbers, this is sales growth potential that cannot be ignored,” — quote from an analytical report.
How much does it cost to connect and how to start selling?
Connecting to the service is free. The main costs will be associated with payment processing and logistics. This makes the offer an attractive budget alternative to seeding or expensive integrations with influencers.
Steps to start selling:
Yandex Products: submit an application for checkout connection.
Yandex KIT: upload assortment, specify prices, set up payment and delivery.
After these settings, products are automatically displayed in Yandex Search and Alice AI for relevant queries. This is a direct path to the buyer, bypassing the creation of an expensive website.
Logistics and analytics: counting cash
To fulfill orders, the seller can use various logistics options, which provides flexibility and allows for cost optimization. This is a key factor in achieving a profitable CPM.
Analysts note that traffic from Alice AI to Russian e-commerce has grown by 358% since the beginning of the year. This is not just statistics, it is an indicator of a growing audience that can be converted into sales. How much money will it bring for every ruble spent – that’s a question for your unit economics.
Frequently asked questions
What CPM can be considered profitable when working with Yandex?
A profitable CPM is one that provides a positive ROI. In this case, with free connection, the cost will be formed from payment commissions and logistics. It is necessary to conduct test sales to determine the optimal CPM for your product.
Sales via Yandex Search and Alice AI can be significantly cheaper than traditional banner advertising, especially at the initial stage. The absence of a connection fee and the possibility of cheap hypothesis testing makes this channel attractive for small and medium businesses. Banner advertising requires large budgets and does not always guarantee a direct transition to purchase.
Is it worth investing in AI sales channels without your own website?
Yes, it is. Especially for a quick start and demand verification. Yandex provides ready-made infrastructure for accepting payments and delivery, which lowers entry barriers. This allows you to focus on the product and marketing, rather than the technical side of e-commerce.
Conclusion: cash or lost opportunity?
The new sales channel from Yandex is not just an option, it is an opportunity for sellers without a website to gain access to millions of potential buyers. Free connection and flexible logistics conditions allow you to compare prices with other channels and, possibly, find that very profitable CPM. Don’t miss the chance to test hypotheses cheaply.
Start accepting applications and uploading your assortment today to assess the real potential of this sales channel and turn it into a significant source of income for your business.
In today’s business environment, many leaders face the same headache: how to optimize workflows and free up team time for strategic tasks. Instead of just using AI for one-off requests, imagine having a whole staff of AI employees who perform routine operations, following your standards and schedule. This article will explain how to turn AI from a simple tool into a full-fledged member of your team, capable of taking on some of the work and increasing business efficiency.
Implementing AI: From One-Off Requests to a Systemic Approach
Many companies claim to actively use AI. However, as Callan Faulkner, founder of The Uncommon Business, notes, this often boils down to one-off requests. For example, a sales manager might spend an hour creating a commercial proposal using Claude or ChatGPT, but the next time a request comes in, the process starts from scratch. This is inefficient and does not allow for the full potential of the technology to be utilized.
Lack of reusable instructions.
Failure to create a knowledge base (successful proposals, objection handling methods).
AI does not become a repeatable system that supports the process.
Creating an AI employee is a completely different skill. Callan defines it as “a trained, reusable AI system that performs a specific business function as well as or better than a human.”
Benefits of a Systemic Approach to AI
Systemic AI implementation brings significant benefits. Callan Faulkner’s company, The Uncommon Business, projects $40 million in revenue with a staff of about 50 people. A few years ago, such a result would have required a much larger team. The goal is not to reduce staff, but to unlock human potential.
“Callan has never fired a person because of AI. Instead, AI allows employees to focus on strategic and creative work that truly inspires them.”
However, a gap is already noticeable between employees trained in AI and those who are not. A marketer without AI skills can spend weeks creating landing pages and images, while a trained specialist does 10 times more in a day. The problem is not replacing humans with AI, but the need for humans who can effectively manage AI.
Three Fundamental Concepts for Creating AI Employees
Before you start creating an AI employee, you need to master two key concepts and one important asset.
Concept 1: Finding the shortest path to an “A+” result
Many professionals, by habit, strive to do everything themselves, proving their worth. Today, this becomes a burden. Callan’s philosophy: the fast track to an outstanding result is a new competitive advantage. This does not mean “cutting corners,” but rather optimizing the process.
For example, Callan’s team used to spend days developing Instagram carousels. Now, after training Claude Design on examples of their best work, they create a polished carousel in eight minutes, and ten carousels in half an hour. The quality remained the same, but time and energy costs were reduced.
Concept 2: Training equals quality of result
Without proper training, AI produces generic and impersonal content. To get a unique and high-quality result, you need to document standards:
Publication goal.
Brand tone and voice.
Examples of successful content.
If these details are not documented and passed on to the AI, it will have nothing to base itself on. Callan gives an example from her podcast: every step of the process must be described in detail so that AI employees can work at the proper level.
Asset: Your “business brain”
A “business brain” is a centralized repository of all important company documentation: prices, processes, standards, brand voice, ideal customer profiles, past successes, etc. If the documentation is insufficient for a new employee, it will be insufficient for AI. AI employees are only as effective as the data they have access to. The time of chaotic files on Google Drive is over.
How to build an AI employee from scratch
The process begins with an audit of current tasks. Callan recommends identifying all daily, weekly, or monthly tasks that generate revenue but do not bring satisfaction or are valued at less than $50 per hour. This could be:
Content design and editing.
Creating presentations.
Generating commercial proposals.
Writing email newsletters.
For example, Callan’s copywriter, Nick, spent most of his time writing sales pages. He documented his approach, analyzed the most successful pages, and began creating AI employees to produce content. Now Nick manages a team of AI copywriters and QA specialists, focusing on strategy and creative direction.
Professional tip: Even tasks in which you feel like an expert are worth analyzing. Callan found that after training AI in processes in which she considered herself the best, the AI’s results sometimes surpassed her own. Transitioning from creator to editor is a more efficient use of time.
AI Interview Method
Once you’ve defined the task, open a new chat in Claude and describe the situation in detail:
Who you are.
What the company does.
What specific task the AI should perform.
What the ideal outcome looks like.
Then, ask Claude to conduct an interview by asking five high-impact questions to extract your exact process. Callan prefers voice input as it provides richer context. Tools like Wispr Flow allow you to speak rather than type, which facilitates a more complete and nuanced description.
“Board of Directors” Technique
For complex decisions, Callan uses Claude to assemble a team of 3-5 experts in the relevant field to discuss the best approach. For example, when creating executive compensation packages, she asked Claude to draw on frameworks from Mark Cuban and Sara Blakely. This resulted in recommendations based on proven business thinking, rather than generic search results.
Training and Testing AI Employees for Outstanding Results
Once you’ve achieved an excellent result in a chat with Claude, the next step is to save it as a “skill.” Within Callan’s framework, a skill is a saved, reusable set of instructions that is available at any time and connected to Claude. It’s like a “prompt on steroids”: one command triggers a complex, trained process. “A skill is an AI employee,” says Callan.
Managing Skill and Memory Changes
After creating a skill, Callan asks Claude: “What do I need to do to turn this into a reusable skill?” The answers usually point to creating a Claude Project — a workspace where knowledge files, instructions, and skills are stored. For example, for a sales proposal skill, the project might include past successful and unsuccessful proposals, all pricing information, and 15 key objections with detailed descriptions of how to handle them.
The final layer is connectors. If a workflow involves external tools (e.g., saving a proposal to a CRM or sending it via Salesforce), Claude connectors allow the skill to interact directly with these platforms. A fully built AI employee works as a skill, based on a knowledge base, with activated connectors, and the entire team is trained to use it.
Testing and Refinement
After creating a skill, the real work begins. Callan advises: test each skill to exhaustion. Most people are content with mediocre results from AI. Callan recommends persistently demanding better. If Claude produces something mediocre, she explicitly states that it can do better and asks it to try again. Often, it is after such a “push” that the desired result is achieved.
Her skill as a voice copywriter, one of the most valuable AI employees, required fifteen hours of work. This investment is justified when compared to human training. It took three months of weekly work for her copywriter to start writing in her style. Many, however, give up on AI training after 45 minutes, believing it cannot grasp their style.
The testing process follows a specific pattern:
Launch the skill.
Check the result.
Manually correct parts that do not meet the standard.
Return corrections to Claude with a specific request: “I made the following changes to your output to meet my standards. Please update your skill to incorporate these changes and use them in future outputs.”
A useful trick: during the conversation, ask Claude: “What have you learned from our interactions?” and ask it to update the skill so that these lessons are reinforced. An important technical detail: skills and memory in Claude Projects can become out of sync. Claude can update its memory based on the conversation but not update the underlying skill. Callan recommends explicitly telling Claude to update the skill itself, and then manually clicking the save button.
Projects also have their own invisible project-level skills that can conflict with workspace-level skills. When creating a skill that should work across all projects, specify “workspace skill” or “core skill” so that it is available everywhere, not just in one project.
Pro Tip: For teams building skills at scale, Callan’s company copies each skill into a Notion database, tracking who created it, when, the version, and its purpose. They even have a skill that checks their skill database for duplicates. Each department manages its skill repository, and skill management is a standard part of every quarterly review.
Scheduling AI Employees for Autonomous Execution
Once a skill has been thoroughly tested and refined to a high standard, it can be scheduled for autonomous work without human intervention.
Current limitation: the computer running Claude must be turned on for scheduled tasks to execute. Callan uses a dedicated office computer logged into the corporate Claude account. Any employee wishing to schedule a skill logs into this account on that machine.
Callan uses Claude’s scheduled task feature via the Claude Cowork desktop application. There are options to select the day, time, and frequency of skill execution. There is no limit to the number of active scheduled tasks.
One of Callan’s scheduled skills is the “Instagram Researcher.” Every Monday morning at 6:00 AM, it visits competitor Instagram accounts, identifies viral content in the AI education sphere, analyzes the approaches and “hooks” used, extracts content transcripts from the previous week, and adds content ideas directly to the Notion database. Her social team logs in on Monday morning and manually approves the ideas they want to implement. What used to be a routine task for the social team on Monday morning is now performed autonomously.
Another scheduled skill runs hourly, extracting meeting transcripts from Granola and archiving them into a Notion database that powers her “second brain.”
Conclusion: Invest in AI Employees for Business Scaling
Creating AI employees is not just automation; it’s an investment in the strategic scaling of your business. Shifting from routine operations to managing efficient AI systems allows your team to focus on creativity and innovation, addressing “customer pain points” related to lack of time and resources. If you are looking for full-cycle short video production or comprehensive promotion through short videos, consider how AI employees can take on some of the work. This allows you to order everything in one place, effectively replacing part of the team with a service. Are you ready to rethink your business processes and build a team where AI and people work in harmony? Start with a task audit and document your standards today. Learn more about how to choose a contractor for social media content outsourcing, and what mass posting quality criteria are truly important to avoid wasting your budget.
Frequently Asked Questions
What is an AI employee and how does it differ from regular AI use?
An AI employee is a trained, reusable AI system that performs a specific business function as well as or better than a human. Unlike one-time AI requests, an AI employee is part of a systematic approach that automates repetitive tasks, following defined standards and schedules.
How do I start creating my first AI employee?
Start with a self-audit: identify tasks that are time-consuming, revenue-generating, but unfulfilling or undervalued. Then document each step of performing that task, its purpose, quality standards, and examples of successful outcomes. Use the AI interview method in Claude to describe the process in detail.
Do I need to be a technical specialist to create AI employees?
For 90% of business operations, creating AI employees does not require technical skills. The key is communication (the ability to clearly articulate needs) and creativity (resourcefulness to bring AI to an outstanding result).
How to ensure high-quality results from an AI employee?
The key to quality is thorough training and testing. Document all standards, tone of voice, examples of ideal results. After creating a skill in Claude, test it exhaustively, demanding improvements from the AI until the result meets your “A+” standards. Don’t forget to regularly update the AI’s skills and memory.
Can AI employee work be automated on a schedule?
Yes, once a skill is debugged, it can be scheduled for autonomous execution. Use scheduling features in tools like Claude Cowork to set the day, time, and frequency for the skill to run. This allows for the automation of routine tasks such as data collection, competitor analysis, or content generation.
The largest video platform, YouTube, is taking countermeasures in the fight for exclusive content. According to Bloomberg, YouTube is offering leading creators multi-million dollar rewards for refusing to cooperate with Netflix and hosting videos exclusively on its platform. This strategy aims to retain creators of high-viewership content when Netflix approaches them.
In some cases, YouTube guarantees creators a share of large advertising deals made at the platform level. In others, it offers content production funding. This is a notable change, considering that YouTube scaled back its own original content production several years ago, ceding to Netflix and other streaming services in the premium TV segment.
YouTube’s Strategy: Carrot and Stick
Sources familiar with the situation claim that YouTube’s approach is not limited to just the “carrot.” The platform also uses the “stick”:
Exclusion from marketing campaigns and events.
Denial of a share of revenue from large advertising deals.
YouTube communicates to creators that deals with Netflix and cross-posting content “create the impression that channels no longer consider YouTube their primary platform,” Bloomberg reports.
Why are creators refusing Netflix?
Some creators have already rejected Netflix’s offers, partly due to the streaming service’s demands. Unlike YouTube, where creators have full control over their publishing schedule, Netflix requires pre-submission of finished videos and asks to remove some sponsored integrations.
Additionally, some Netflix podcast deals, such as with Barstool Sports and The Ringer (and likely the $100 million deal with Jay Shetty), include a clause limiting the number of clips creators can publish on YouTube.
“YouTube communicates to creators that deals with Netflix and cross-posting content create the impression that channels no longer consider YouTube their primary platform.”
Evolution of Netflix’s Offers and YouTube’s Response
New Netflix deals include participation in the production of new content, such as the development of original series with Salish Matter and Alan Chikin Chow.
YouTube was reluctant to discuss the need to intervene to stop creator outflow. Key concerns:
Unwillingness to fully return to the YouTube Red model and function as a studio.
Unwillingness to show favoritism by directly paying some creators more than others, instead of a general AdSense system.
However, Netflix has already poached leading creators and is likely continuing to actively attract new ones. In response, YouTube is employing a strategy similar to the “Vessel playbook” and approaches used after the Ninja exodus, where platforms paid streamers for exclusivity. The goal is to financially incentivize creators to stay on YouTube.
Frequently Asked Questions
What is YouTube’s new strategy for retaining creators?
YouTube is offering leading creators multi-million dollar contracts for exclusive content placement on its platform and refusal to cooperate with competitors like Netflix. Funding for production and a share of advertising deals are also offered.
What Netflix requirements might deter creators?
Netflix requires pre-submission of finished videos, asks to remove some sponsored integrations, and may limit the number of clips published on other platforms, which reduces creators’ flexibility and control over their content and schedule.
How does YouTube punish creators who collaborate with Netflix?
Creators who have made deals with Netflix may be excluded from YouTube’s marketing campaigns, events, and denied a share of large advertising deals on the platform.
Why did YouTube previously stop funding original content?
YouTube scaled back its own original content production several years ago because Netflix and other streaming services surpassed it in the premium TV category, making such investments inefficient.
What are the long-term consequences of this battle for creators?
The battle for creators between YouTube and Netflix creates new opportunities for content creators, allowing them to receive more favorable terms and financial incentives. However, this can also lead to increased complexity in platform choice and potential limitations in content distribution.
Conclusion
The battle for exclusive content between YouTube and Netflix is gaining momentum, offering creators unprecedented monetization opportunities. This situation highlights the importance of mass video posting and cross-posting as tools for effective content distribution.
When choosing a mass-posting service, pay attention to its ability to seamlessly work with schedules across 10+ accounts, ensuring uploads to all platforms at once. This will allow you to maximize the potential of each platform; while you sleep, videos are already being released. Evaluate how an automatic short video publishing service can optimize your work and ensure scheduled reach. Remember: the right choice of tools for auto-scheduling and content distribution is key to success in the modern media landscape.
In a world where AI chatbots are becoming the new entry point for customers, brands are changing their visibility strategies. A new item has appeared in creator briefs: AI visibility. Marketers have realized that traditional SEO and paid advertising methods are no longer sufficient when LLMs (large language models) actively scan social media, blogs, and news portals in search of answers to user queries. The key becomes the “video DNA” and “matrix” of content that AI can interpret.
AI Visibility: The New Reality of Content
Previously, the brand itself dictated what would be said about it online. Today, AI search takes the initiative, relying on external, more authentic sources.
“The machine moves to the most accessible public information and the most authentic to get closer to an answer. It’s not what comes from the brands themselves,” notes Joe Gagliese, CEO of Viral Nation.
Accessibility: Social networks and creator blogs are open data sources for LLMs.
Trust: Positive reviews and feedback from creators build a brand’s reputation in the eyes of AI.
The Zoom example demonstrates this trend: the company collaborated with journalist-creator Naima Raza to enhance authority through storytelling. This is a step towards bypassing the advertising ban when a direct advertising message doesn’t work.
Measuring and Optimizing AI Visibility
While the direct link between creator campaigns and AI visibility is still under development, the correlation is already evident. Christina Coughlin, SVP and General Manager at Trevant, notes that requests to track creator content in AI search results come in almost every new pitch.
This pushes agencies towards repurposing content and adapting strategies.
Agency Strategies for AI Visibility
Audit existing content: Trevant analyzes which creators and content types generate the most citations in LLMs.
Continuous monitoring: Tracking citations during campaigns to optimize and plan future partnerships.
Integration with SEO: Crispin’s teams, for example, work with SEO specialists to reverse engineer GEO processes to amplify creator influence.
This approach allows brands, previously skeptical of influencer marketing, to see the value in unique video and content for AI search.
Technical Aspects of AEO and Content
Creators are actively mastering AEO (Answer Engine Optimization), creating specialized sites and conducting audits. It’s important that social media post captions are machine-readable and contain enough information for LLMs to scan.
“In addition to simply sharing information and all the usual things you expect from a caption, we’re now suddenly saying, ‘Okay, this is the new long tail of online search, and we need to make sure this caption is working as hard as possible,’” emphasizes Daniella Wiley, CEO of Sway Group.
What creators need to consider:
“Gluing” information: Creating cohesive, informative content that is easy to “repackage” for AI.
“Splitting” content: Turning one webinar into 50 short clips for different platforms.
Metadata: Maximally detailed and relevant descriptions, tags.
However, experts warn against overdoing it. Scott Sutton, CEO of Later, notes that 300,000 TikToks about a new soap might not make it into AEO if they are not in the right place for indexing.
This highlights the importance of a uniqueness package and a strategic approach to content scaling.
Frequently Asked Questions
What is AI visibility and why is it important?
AI visibility is the ability of a brand’s content to be discovered and cited by large language models (LLMs) and AI chatbots when responding to user queries. It is important because more and more people are starting their purchasing journey with AI search, and a brand not present there loses potential customers. It’s like a “clone” of your content working for you in a new digital reality.
How can creators help brands improve AI visibility?
Creators can create authentic, informative, and well-structured content that is easily scannable by LLMs. Their positive reviews and testimonials are perceived by AI as more reliable than direct brand advertising. They help to “trick” algorithms by providing quality, natural content.
What is AEO and how does it differ from SEO?
AEO (Answer Engine Optimization) is the optimization of content for answer engines, such as AI chatbots, which aim to provide a direct answer to a user’s question. Unlike traditional SEO, which focuses on keywords for search engines, AEO is geared towards providing clear, authoritative, and complete answers that AI can easily extract and use. It’s like “repurposing video for advertising” with AI logic in mind.
Yes, repurposing and unique-ifying existing content is an effective approach. This can include changing the background and tone in videos, adapting for TikTok, Shorts, Reels, rewriting captions for machine readability. The goal is to create 100 unique pieces from one, but it’s important to ensure that the new content meets AEO requirements and will be correctly indexed by AI.
Conclusion
The era of AI search is changing the game for brands and creators. Investing in AI visibility through authentic creator content is becoming not just desirable, but critically important. This is not just a “price comparison from scratch”, but a strategic step towards dominating the new digital reality.
Start adapting your content strategy today so that your brand is not just visible, but also cited in tomorrow’s AI world. Explore the possibilities of generating variants for A/B tests and adapting for different social networks to make the most effective use of every bit of your content.
The era of fragmented queries is fading. Data from a year of Google’s AI search mode shows: users are asking complete questions, not fragments of phrases. This is critically important for stream highlights and any other content: now the main information should be at the beginning so that AI algorithms can instantly extract it and present it in their reviews. If you bury the essence in long introductions, your content risks going unnoticed.
Evolution of Search: From Keywords to Dialogue
Since the launch of AI mode, user queries have fundamentally changed. According to Shivani Mohan, Google’s VP of Data Science, AI mode has reached 1 billion active users per month. But it’s not just about the increase in the number of queries.
Query length has tripled: The average query in AI mode in the US is three times longer than traditional queries.
Multimodal search: More than 1 in 6 queries now include images, voice input, or interactive dialogue.
Growth of images: Image-based queries are growing by 40% monthly.
Follow-up questions: Users ask clarifying questions, indicating the depth of their search.
The most common first words in AI mode queries are “what,” “how,” “I,” “is,” and “can.” This demonstrates a shift from searching by individual words to task- and question-oriented search, similar to communicating with a human.
Five User Behavior Modes in AI Search
Mohan identifies five main user behavior modes, each requiring a specific approach to content:
Explore: Open-ended queries for brainstorming. Growing 30% faster than overall AI mode traffic.
Decide: Queries with comparison words (“which of,” “which one”). Growing 40% faster.
Learn: Understanding new concepts and professional development.
Create: Queries for image creation have tripled since the beginning of the year.
Do: Planning (workouts, travel, budgets). Growing 80% faster in the last six months.
“This is not just a change in ranking factors; it’s a transformation of user behavior. If you’re still building content around keywords, that model is rapidly becoming obsolete,” says Greg Jarboe.
To make your content effective in the new reality of AI search, follow these five steps:
1. Start with the main point
Place the main definition, key metrics, or main conclusions directly in the first sentence of each main section. This allows AI algorithms to quickly extract the necessary information.
2. Use specifics
Formulate sentences with specific brand names, geographical markers, exact dates, and verified numerical values. Avoid vague generalizations so that your text is “mathematically readable” for search engines and reduces the risk of AI “hallucinations.”
3. Structure for scanning
Organize the main text into short paragraphs (2-3 sentences). After section headings, use brief summaries, ordered lists, or structured tables. This facilitates segment extraction for AI and ensures readability for humans. This is especially important for mass cutting of 100+ clips, where each fragment must be self-contained and informative.
4. Prepare answers to follow-up questions
If multi-turn dialogues are growing by 40% per month, your content should answer the second and third questions a reader will ask after the first. Structure long content so that each section can serve as an answer to a specific follow-up question. This increases the likelihood that this particular “chunk” will be provided by the AI mode. For cutting game streams, this means creating clips that answer specific viewer questions.
5. Optimize multimodal content
With the growth of image queries (40% monthly) and a threefold increase in image creation requests, alt-text, image context, and visual content quality are becoming key ranking factors. They are no longer secondary but are part of what the AI mode reads.
Conclusion: From “assembly line” to “smart content production”
Success in modern SEO is not about flooding the internet with templated texts, but about mastering structural clarity that provides immediate and verified benefits to both algorithms and readers. Just as 19th-century journalists adapted to the telegraph, we must rethink our approach to content creation for the AI era. Cutting streams without losing quality, creating highlights, and cropping 9:16 from horizontal — all this requires not just technical skills, but also a strategic approach to information delivery. Remember that the person who cuts streams must now think like an SEO specialist so that every Twitch clipping or podcast video cutting works as effectively as possible to attract an audience. Contact us to find out how we can help you with this.
Frequently Asked Questions
How long does it take to cut a 2-hour stream?
The cutting time depends on the complexity of the content and the desired number of highlights. On average, professional cutting without loss of quality of a 2-hour stream into 5-10 clips can take from 1 to 3 hours, including adding subtitles for cuts and optimization. If you need bulk cutting of 100+ clips, automated tools such as Opus Clip analog service are used, which significantly speed up the process but require subsequent manual refinement.
What moments are usually cut from streams for highlights?
For highlight editing, the most emotional moments, key game events (e.g., “kills”, “win rates”), funny jokes, important announcements, Q&A sessions, and fragments that evoke a strong audience reaction are usually cut. The goal is to create cuts for TikTok from Twitch or YouTube that quickly grab attention.
Are subtitles needed for stream cuts?
Yes, subtitles for cuts are extremely important. They improve content accessibility, allow videos to be watched without sound (e.g., in public places), and increase engagement. In addition, subtitles contribute to better indexing of content by search engines, which is important for stream monetization through cuts.
What is the price for 1 hour of stream for cutting 20 clips?
The price for cutting 20 clips from a stream for 1 hour can vary depending on the specialist’s qualifications, the complexity of the editing, and the need to add graphics and subtitles. Approximately, the cost can range from 1000 to 3000 rubles per hour of source material, if it is a high-quality work taking into account SEO optimization and 9:16 cropping from horizontal for different platforms.
Banner advertising in video, especially in short formats like YouTube Shorts, TikTok, and Instagram Reels, is becoming a goldmine for those who understand the numbers. While some complain about CPM and influencers, others are already getting millions of views for pennies. Forget about bloggers and their exorbitant prices — there are much more effective and transparent schemes that allow you to get banner advertising in Shorts with maximum return.
Why YouTube Shorts is the new Klondike for advertising?
According to experts, YouTube Shorts is actively increasing advertising budgets. Leah Askew from Digitas and Bryan Binder from Tinuiti confirm a significant increase in investments in this format. Skyler McGill from Wpromote notes that Shorts is becoming an increasingly prominent segment in the overall volume of video investments.
CPM cheaper than 50 rubles: Many arbitrageurs are already noting that the cost per thousand impressions here can be significantly lower than on other platforms.
Mass reach for pennies: Thanks to YouTube’s huge audience, Shorts offers the opportunity to get millions of views without incurring huge budgets.
Alternative to influencers:instead of expensive bloggers, whose effectiveness is often questionable, you can use direct programmatic video banners.
Placement nuances: not so simple, but profitable
Despite the growth, Shorts has not yet reached the level of TikTok and Reels in terms of advertising placements. One agency executive notes: “If Meta and TikTok take 60% of the budget, then YouTube Shorts will be somewhere around 10%. They can’t scale to that extent yet.”
“Most impressions still go to in-stream advertising when you group campaigns. The algorithm clearly favors in-stream inventory because there is so much of it. But Shorts inventory is definitely not avoided by anyone,” says Bryan Binder.
Experts advise allocating Shorts to a separate campaign. “It’s usually more profitable to allocate this to a separate position to get more scale and targeted efficiency, rather than just keeping it as part of a general Demand Gen campaign,” says Skyler McGill.
Content features for Shorts: social strategy rules
You can’t just take a long video and put it in Shorts. “You really shouldn’t take a long video and apply it there. You shouldn’t even think that vertical video fits there. You really need to bring social strategy and social assets to it,” emphasizes Leah Askew.
Brian Binder adds: “We are increasingly seeing conversations about the ‘lift-and-shift’ strategy. This is an opportunity to take what you are currently doing on traditional social media and simply transfer it to YouTube Shorts.”
Where does YouTube land in agencies?
An interesting point: often, YouTube is not managed by SMM specialists. Leah Askew says that at their company, they had to hold meetings to figure out who and how to buy ads on YouTube. In the end, they decided that it should happen through programmatic, but with a close connection to the social team.
“One of the things that I think brands and agencies are trying to grapple with is where YouTube sits from a management perspective versus social. The social team will manage Meta and TikTok, but sometimes YouTube is managed by the search team or the programmatic team. So you have to start thinking about where it actually sits and what is the baseline that we’re going to compare against,” says Brian Binder.
For now, TikTok and Reels are leading in terms of investment volume, but Shorts is catching up. “Performance is comparable to TikTok and Reels. But given that these platforms operate at higher cost levels, we expect Shorts to deliver higher efficiency as it is at a lower investment level,” notes one agency executive.
Facts and figures to consider
450,000: The number of “clippers” in YouTube creator Eric “Airrack” Decker’s ClipFarm network.
$500 million: Alex Cooper’s Unwell company valuation after the latest funding round.
$12.99: The new monthly price for Peacock’s premium ad-supported subscription.
Starting August 24, YouTube will change its view counting approach, equating it to Instagram and TikTok: a view will be counted as soon as the video starts playing. This is already applied to Shorts.
Frequently Asked Questions
How cheaply can you buy reach on YouTube Shorts?
Many arbitragers note that a CPM cheaper than 50 rubles is a very real goal for YouTube Shorts campaigns, making it one of the most effective channels for mass reach for pennies.
Can I place banners in Shorts without creating videos?
Yes, this is a key advantage. You can use auto-placement on hundreds of videos without the need to shoot your own content. This is ideal for promoting mobile applications, infobusiness, or crypto projects where quick and wide reach is needed.
How does Shorts compete with TikTok and Reels in terms of effectiveness?
According to experts, Shorts’ performance is comparable to TikTok and Reels. At the same time, given the lower investment in Shorts at the moment, higher efficiency and the lowest CPM in shorts can be expected.
Where to find experts to order banner advertising in Shorts?
Look for specialists in programmatic video banners or agencies that have experience with YouTube Ads and specialize in short formats. It is important that they understand the specifics of a native banner in Shorts and can provide a non-skippable banner.
Conclusion: Act before the market overheats
YouTube Shorts is not just another channel, it is a strategic tool for getting cheap reach and rapid scaling. While major players are still debating who should manage budgets, you have the opportunity to buy reach without creating a video and get real profit metrics. Test hypotheses for 1000 rubles, use a banner for infobusiness or any other project. Don’t wait until CPM skyrockets – start working with banner advertising in video today. And remember, real profit is where others only see difficulties.
Harvard Business School (HBS) is launching an innovative Foundry bootcamp where AI avatars of instructors will provide personalized feedback. This is a new step in scaling educational programs, significantly increasing learning efficiency. The cost of the eight-week course for entrepreneurs is only $699.
The Foundry bootcamp, developed by HBS, offers weekly live sessions with instructors. However, a key feature is the use of animated AI characters for interactive engagement. These neural networks, created by the startup HeyGen, provide personalized feedback during practical presentations and simulated board meetings.
This approach significantly increases the volume of individual support that would be impossible to provide through traditional methods.
AI Avatars in Action: Personalized Feedback
New York Times reporter Sarah Kessler personally tested the system, presenting her “Uber for bananas” project to the AI avatar of Flybridge Capital co-founder Jeff Bussgang. Although neither the real Bussgang nor his digital copy were impressed with the idea, Kessler noted that the virtual version displayed a “noticeably frozen smile” during her pitch.
This highlights the potential of AI avatars with subtitles and facial expressions to create more realistic interaction.
From Chatbot to Mentor: The Evolution of AI in Learning
Project director Katharina Rings initially envisioned the AI component as a regular chatbot. However, after a pilot launch, students expressed a desire for a more structured and guided experience.
This feedback led to the development of more sophisticated AI avatars, capable of not only answering questions but also actively participating in the learning process. This demonstrates the adaptability of neural production by subscription to user needs.
“My students are thrilled with the digital copy,” said Jeff Bussgang, admitting that his AI avatar is a bit “creepy” but extremely useful in the learning process.
The Effectiveness of AI vs. Real UGC: New Horizons
Foundry bootcamp participants, unlike some students who express negative attitudes towards AI, positively evaluated the use of animated AI characters. This confirms that, with proper application, mass video generation by neural network and creation of AI commercials can be not only effective but also in demand.
How much does one AI creative cost compared to traditional methods? Obviously, significantly less, which opens up new opportunities for AI UGC for a crypto project and other niches.
Advantages of AI in Education and Marketing
Scalability: Allows providing individualized feedback to thousands of students simultaneously, making what was impossible to scale — now possible.
Cost-effectiveness: Reduces the cost of training and content creation. The cost of 1 minute of AI video is significantly lower than traditional production methods.
Personalization:AI avatar with subtitles and an individual approach improves the quality of learning.
Innovation: The use of neural networks for UGC advertising and an AI conveyor of 500 videos per day open up new opportunities for marketing and education.
Frequently Asked Questions
What is an AI avatar in the context of education?
An AI avatar is a digital copy of a person, created using artificial intelligence, capable of mimicking their appearance, voice, and mannerisms for interactive engagement, such as providing feedback or conducting lectures. This allows for generating 100 videos or more with the same “instructor.”
How do AI avatars help scale educational programs?
By using AI avatars, educational institutions can provide personalized learning and feedback to a significantly larger number of students than is possible with live instructors. This reduces operational costs and increases access to quality education. It’s like an AI video factory for e-commerce, but for education.
Which companies develop technologies for AI avatars?
One of the key players in this field is the startup HeyGen, which created AI avatars for Harvard Business School. There are other companies offering similar solutions, for example, a Synthesia alternative, specializing in video generation from text and mass generation API.
Can AI avatars be used to create advertising content?
Absolutely. AI avatars and AI video for advertising are actively used to create AI face-swap clips, AI voiceovers, and AI writes scripts and edits videos. This significantly reduces the cost and speeds up the production of advertising content, making the effectiveness of AI versus real UGC very attractive.
Conclusion
The integration of AI avatars into Harvard Business School’s educational programs demonstrates a significant breakthrough in EdTech and AI content production. This not only increases the accessibility and quality of education but also opens new horizons for the application of artificial intelligence in various fields, from education to marketing.
If you are looking for where to order mass video generation for crypto or other projects — the technology is already here. The future of education and content production lies with neural networks, and Harvard is already setting the pace. Learn more about creating AI commercials on our website.
