AI use cases
2983 ways people actually use AI, compiled from the videos in this
library. Each names the job and why it is worth doing, and links to the
moment in the source video.
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Facial recognition
— Scan nearby participating shelters for a lost pet after the owner uploads a picture.
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Building dashboards and portfolio software
— Create customized internal software through natural-language AI development instead of buying and integrating expensive off-the-shelf software.
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Software maintenance and codebase understanding
— Reconstitute historical knowledge of a codebase and make maintenance-mode software easier to operate with fewer legacy personnel.
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Video rendering
— Use the strongest model for the particular application, such as a leading video model.
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Specialized life-sciences and genomics modeling
— Use premium models when high-quality model proficiency is important.
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Simple workflow applications
— Use inexpensive open-weight models where high model proficiency is not required.
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Draft an apology letter
— Respond to Apple after an app was removed from the platform.
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Analyze blood-work data
— Potentially explain what blood-work results mean and identify deficiencies in a health analytics app.
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Analyze images and food information
— Support calorie tracking, food recognition, and weight-management features in Wrestle AI.
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Analyze business data
— Ask questions about daily numbers and profit-and-loss information using consolidated data sources.
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Analyze uploaded wrestling and fighting videos
— Identify strengths, weaknesses, fundamentals, and ways to improve.
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Build mobile applications without coding
— Create Fight AI, Wrestle AI, and other niche apps using an AI app builder.
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Create renderings and generate design inspiration for pools, playgrounds, artwork and warehouse conversions.
— Produce multiple design concepts within minutes instead of waiting weeks for initial architectural or CAD versions.
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Combining AI with global talent
— The speakers describe this combination as a game-changer that brings opportunities to people who previously felt unable to do more.
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Support marketing, administration, and employee work
— Combine AI capabilities with global human talent to improve productivity and handle work that might otherwise be considered mundane.
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Build a recruiting operating system or database
— Create a system for candidate applications, filtering, and sending candidates to clients.
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Use the Obsession Audit tool
— Make the process of identifying interests and patterns smoother.
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Cluster 100 recorded questions into themes
— Identify the subject appearing most often in the person’s genuine questions.
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Analyze a two-week energy log
— Find activities that provide energy, drain energy, or create time distortion.
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Analyze Amazon order exports and bank statements
— Categorize discretionary spending and identify what the person clearly cares about.
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Analyze exported YouTube watch history
— Identify three hidden obsessions while ignoring random outliers.
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Create payment and advertising integrations
— Connect Stripe for invoicing and Google AdSense for potential advertising monetization.
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Add a trust-building website section
— Create a "Why choose us" section to help local customers make decisions based on trust.
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Modify website content and lead-form fields
— Adjust required information, remove the email field, edit text, and change the form's friction level.
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Generate a local lead-generation website from a natural-language prompt
— Create a scalable, search-optimized site for a pool-service business in Bentonville, Arkansas.
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Customer discovery and referral
— Customers reported that ChatGPT and Claude directed them to the company.
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Surface relevant software products in response to user questions
— Customers reported being directed to Post For Me by ChatGPT and Claude after the company's content and website structure improved.
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Consolidate notes and findings into article material
— Help transform support-chat and Discord findings into publishable resource articles after the founders established the process manually.
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Generate resource articles from recurring customer problems
— Turn real customer-support questions into useful website content that can serve users and improve organic discovery.
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Cybersecurity testing
— A guardrail-free version of Fable scored about double the normal top model on a hacking skill test designed to expose software vulnerabilities.
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Game-playing and self-improvement
— Fable used a memory file to record its runs of Slay the Spire and then won three times more often.
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Frontier physics research
— Fable reached nearly as far in solving an unsolved physics problem in 36 hours as a competing model did in 4 days.
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Software codebase modernization
— Fable reportedly overhauled a 50-million-line Stripe codebase in one day.
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Autonomous multi-step execution
— Fable plans a job, performs the work, checks its output, fixes mistakes, and delivers a finished result without continuous supervision.
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Content planning
— Claude can use audience engagement data, including what subscribers click, to help plan content.
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Translation
— Convert voicemail messages into Spanish, Vietnamese, Mandarin, and Portuguese while retaining the cloned voice.
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Script generation
— Draft common real-estate voicemail messages covering listings, price changes, showings, offers, inspections, closings, referrals, and holidays.
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Text-to-speech generation
— Turn written voicemail scripts into natural-sounding audio with controlled pitch, rhythm, intonation, and emotion.
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Voice cloning
— Create a digital version of a realtor's or business owner's voice from a short audio sample.
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Provide search results and answers
— AI-generated search results were discussed as a reason to combine directories with media and newsletters, while local search was described as more resilient.
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Assist with coding and website development
— AI coding can upload code directly to a server, but the speakers noted difficulties with file structure and unintended changes when correcting problems.
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Generate a directory structure and categories from a natural-language description
— AI was used to create an entire directory in about 2 minutes, demonstrating that directory construction can be rapidly replicated.
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SEO optimization and directory coding
— The speaker uses Cloud Code to code directories and request SEO optimization, while noting that AI-generated optimization can still miss important on-page SEO elements.
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Operate a voice agent for a roofing business
— Answer customer questions, provide information about hail damage, and schedule a free roof inspection.
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Generate and refine a roofing-business knowledge-base prompt
— Create FAQs and structured information for answering quote, inspection, roof-leak, insurance-claim, and emergency-call questions.
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Generate large-scale outbound content
— The discussion uses AI agents producing large volumes of emails and user-generated-content videos as an example of future internet noise.
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Manage approval workflow
— The agent sends sufficiently attractive bakery deals to William for a thumbs-up or thumbs-down before continuing negotiations.
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Coordinate bakery partnerships
— Automating repetitive outreach helped expand the network from one bakery to approximately 15 bakeries in a month.
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Source bakeries and negotiate supplier terms
— The agent checks email, finds bakeries in specified locations, evaluates them, sends outreach, and negotiates discounts for cake orders.
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Answer phone calls, qualify leads, book appointments, and handle texts, direct messages, and web chat
— Help businesses avoid missed revenue from unanswered leads and enable the service to be resold as white-labeled software
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Standardizing report production
— Turn structured assessment data into a consistent client-facing document.
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Researching software solutions
— Find off-the-shelf tools that address the client's identified problems.
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Analyzing interview transcripts
— Identify pain points and generate an assessment report.
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Conducting an initial business interview
— Collect information about the owner's operations, software, and biggest pain points.
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Audit small businesses
— Identify where AI could improve business processes and generate reports about recommended changes.
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Support college-tuition negotiations
— Provide language, precedents, and case studies for negotiating with universities.
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Monitor user activity
— Detect when users leave a stated task and interrupt or restrict distracting behavior.