AI use cases
2978 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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Scheduling, calendar management, research, and pre-meeting briefs
— Help Claire Vo manage meetings, travel timing, communications, and family logistics.
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Operating company functions through specialized agents
— Provide marketing, executive assistance, sales, support, scheduling, research, analytics, and other operational leverage.
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Coding and building the standalone ChatPRD product
— Increase Claire Vo's development capacity while she worked full-time jobs.
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Drafting a product requirements document and technical specification
— Help Claire Vo quickly define a complex data-auditing and processing product.
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Support enterprise implementation
— Palantir used AI expertise and field deployment teams to deliver customer outcomes.
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Build and operate coding products
— AI models enabled Replit and other coding companies to pivot toward AI-native products.
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Generate creative content
— Users can request flyers, websites and other content directly through ChatGPT.
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Route users around standalone software
— Agents selected direct AI functionality instead of Canva and other standalone tools.
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Generate advertising creative and collateral
— An agent-based internal system generated creative and served it to the SaaS community without suggesting Canva.
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Replacing repetitive work
— AI agents are presented as a way for companies to reduce mundane repetitive work and enable humans to perform higher-value activities.
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Insurance workflows
— AI is introduced into insurance in a governance-first and secure form, supported by forward-deployed teams.
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Customer support
— AI is used to provide customer support with explicit performance benchmarks.
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Automating accounts receivable collections
— AI can conduct conversations, use internal information, and perform the collections process alongside humans, with the claimed potential to improve working capital, save money, and make money.
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Terminal coding
— Kimi Code CLI reads and edits code, runs commands, searches files, fetches web pages, and determines its next action from results.
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AI content creation
— ComfyUI uses visual node graphs to create image, video, audio, 3D, and text generation workflows.
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Video editing
— OpenEdit lets coding agents transcribe videos, design caption styles, render subtitles, and revise edits through natural-language instructions.
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Codebase retrieval and editing
— Code Review Graph and Code-Graph-RAG expose structural and semantic code context to AI assistants and support targeted reviews or edits.
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Model routing
— OmniRoute sends requests across multiple AI providers through one OpenAI-compatible endpoint.
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Local model inference
— DS4 runs DeepSeek V4 Flash and Pro models on local hardware.
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Software development workflow enforcement
— Agent Skills and Superpowers guide coding agents through specifications, planning, implementation, testing, review, and debugging.
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Autonomous coding and research
— Prime Agent runs long, multi-step work through a persistent coding and research session with tools and child agents.
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Generate grounded answers
— Use retrieved document chunks and a large language model to answer questions without relying solely on unsupported model knowledge.
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Generate synthetic data
— Create additional training data, including question-and-answer pairs covering failing patterns.
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Label data
— Support data science workflows and produce labeled training data.
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Anti-cheating detection
— Use behavioral data, statistical models, and machine learning models to identify computer-assisted play and protect the integrity of casual and professional games.
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AI chess coaching
— Offer an on-demand coach that can review recent games, provide feedback and recommendations, and support interactive conversations.
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Product research and personalized chess analysis
— Compare users' advanced statistics with similar or higher-rated users and identify what they need to improve.
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Software development
— Shorten the time from identifying an opportunity or problem to shipping code to users through agentic development and AI-assisted product work.
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Internal organizational knowledge
— Provide a permission-aware authentication and knowledge layer across Chess.com's organization through the internal GNS system.
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Data analysis and analytics
— Allow analysts to ask questions and investigate data using LLM technology.
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Customer support automation
— Give users faster answers while human support staff handle human-to-human needs.
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Generate an SEO-based Facebook Marketplace title
— Use available listing space for the model number, color, delivery information, and other searchable details.
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Generate an SEO-based Facebook Marketplace advertisement
— Create a product description containing specifications and features for an LG washer.
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Diagnose how to reattach a broken appliance door
— Use ChatGPT to investigate a repair problem after prioritizing items that could be sold quickly.
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Analyze meeting transcripts and organizational data.
— Identify problems, conflicts, dependencies, and ground-truth operational issues without requiring an executive to attend every meeting.
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Build memory, retrieval, and context systems for agents.
— Help an agent determine which information to retain for a given task.
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Reduce the strength and intensity of a founder-advising prompt.
— Turn a detailed advising script into a less forceful, shareable version.
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Implement the task list
— Use an AI coding agent to build the podcast website and update task status as work progresses.
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Break the plan into tasks
— Create manageable implementation tasks and sequence testing, implementation, refinement, and documentation work.
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Create a technical plan
— Translate the specification and constitution into technical requirements, project context, dependencies, architecture, research artifacts, and implementation phases.
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Resolve specification clarifications
— Use a reasonable best guess to complete unresolved requirements and update the acceptance checklist.
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Generate a product specification
— Turn the podcast website's product motivation and requirements into user scenarios, acceptance scenarios, edge cases, functional requirements, and an acceptance checklist.
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Fill out the project constitution
— Bootstrap a set of minimum requirements for a static web app from the constitution template.
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Search and process web data
— Search, scrape, crawl, interact with live websites, parse PDFs and DOCX files, and return agent-ready content.
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Automate software delivery
— Create self-healing tests, monitor logs and user feedback, coordinate coding agents, and prepare pull requests.
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Fine-tune and evaluate models
— Check training data, select a method, generate configuration, derive evaluations, and fine-tune models on limited hardware.
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Handle customer interactions
— Answer support and sales questions, update accounts, process payments and refunds, and work across voice, chat, email, and social.
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Operate browsers
— Open and close tabs, scroll, click, fill forms, interact with web pages, and automate repetitive web work.
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Coordinate creative production
— Plan, execute, revise, and deliver film, games, music, and social work through specialized agents.
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Generate video with audio from text or text plus an image
— Create a 10-second clip through low-resolution generation followed by 1080p refinement.
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Maintain semantic, episodic, and procedural memory for a local assistant
— Provide readable, local-first agent operation with controlled retrieval.
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Maintain CRM records and schedule follow-ups
— Let an agent continue work on its schedule while limiting claims to observed evidence.
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Run agent workloads at high density on Kubernetes
— Multiplex suspended and resumed workloads while preserving state.
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Convert documents into Markdown
— Create consistent, clean input for developers and agents without ML models or external services.
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Read, edit, render, and automate office documents
— Let agents work with Word, Excel, and PowerPoint files.
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Control terminals, files, processes, and code execution
— Allow AI assistants to operate a desktop and perform data analysis.
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Generate, audit, redesign, or study HTML and CSS designs
— Apply anti-AI-slop design rules and self-critique gates.