AI use cases

551 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.

Maintain CRM records and schedule follow-ups autonomously for an AI-agent-first CRM.

ManuAGI - AutoGPT Tutorials
Run agent-like workloads at higher density and lower latency on Kubernetes.

ManuAGI - AutoGPT Tutorials
Let AI agents read, edit, render, validate, and automate Word, Excel, and PowerPoint files.

ManuAGI - AutoGPT Tutorials
Give AI agents reusable team knowledge from conversations, documents, code, repositories, and past sessions.

ManuAGI - AutoGPT Tutorials
Build, deploy, and run continuous AI agents that automate workflows and respond to outside events.

ManuAGI - AutoGPT Tutorials
Rehearse possible futures by simulating thousands of agents responding to seed material such as news, policy drafts, or novels.

ManuAGI - AutoGPT Tutorials
Ground AI agents in an auditable knowledge graph by ingesting data, extracting entities and relations, and making facts and decisions traceable.

ManuAGI - AutoGPT Tutorials
Select models and tools for internal agentic work.

Inside the Silicon Mind with Firas Sozan
Use AI models for long-running agentic workloads inside businesses while keeping company data on local workstations.

Inside the Silicon Mind with Firas Sozan
Ground an AI agent's business answers in an organization's current systems and records.

IBM Technology
Ground an AI agent's answers by checking information against search, data connectors, enterprise knowledge sources, APIs, or retrieval systems such as RAG before responding.

IBM Technology
Used an agentic browser to access authenticated browser resources, extract information, and execute activities on the user's behalf.

IBM Technology
Orchestrate multiple AI agents and let them review, share, and continue one another's work.

ManuAGI - AutoGPT Tutorials
Execute agentic JVM workflows that combine code and LLM actions.

ManuAGI - AutoGPT Tutorials
Act as a terminal coding agent for software-development sessions.

ManuAGI - AutoGPT Tutorials
Give an AI agent a computer environment for running code and managing files.

ManuAGI - AutoGPT Tutorials
Chat with a company-contextualized agent to write documents, run tasks, and build applications.

ManuAGI - AutoGPT Tutorials
Coordinate multiple AI coding agents and harnesses in one session.

ManuAGI - AutoGPT Tutorials
Build JVM agentic workflows that combine LLM calls, code, domain models, goals, and conditions.

ManuAGI - AutoGPT Tutorials
Let humans and AI agents collaborate in shared rooms where agents can access repositories, send patches, review code, and run workflows.

ManuAGI - AutoGPT Tutorials
Run a DeepSeek-native terminal coding agent during long coding sessions while reducing repeated prompt-token costs.

ManuAGI - AutoGPT Tutorials
Give an AI agent a virtual computer where it can run code and access a file system.

ManuAGI - AutoGPT Tutorials
Aggregate many application connections behind one connector so the same tools are available across agent harnesses.

Open Residency
Scrape social, video, search, and lead-generation data for an agent.

Open Residency
Connect an agent to ClickUp so it can retrieve project information and manage tasks.

Open Residency
Use a CLAUDE.md or agents.md file to preload an agent with stable information about a person and business.

Open Residency
Check an agent's next step before it commits to it.

IBM Technology
Execute AI-agent actions only after independent policy checks and, for risky requests, approval.

Github Awesome
Reduce the context cost of large MCP tool catalogs while preserving on-demand access for an agent.

Github Awesome
Give coding agents a persistent repository map for targeted search and dependency tracing.

Github Awesome
Run multiple terminal coding agents side by side while recording their messages, decisions, approvals, and terminal actions.

Github Awesome
Diagnose PostgreSQL health and provide database evidence to scripts or AI agents.

Github Awesome
Constrain a DeepSeek harness's initial tool access, then expand it after the agent establishes a durable trajectory.

Github Awesome
Dictate code or instructions directly into the Pi coding agent.

Github Awesome
Give coding agents persistent, searchable project memory across sessions.

Github Awesome
Control whether an AI agent's proposed actions are allowed, escalated, or blocked before execution.

Github Awesome
Prepare and adversarially test US utility patent filings with agent skills.

Github Awesome
Rewrite aerospace instructions so one AI agent can pass them to another without clarification.

Github Awesome
Convert a technical book or documentation folder into a compact agent skill that loads only the material relevant to a question.

Github Awesome
Review and edit an HTML or Markdown document before sending the complete set of human feedback to an agent.

Github Awesome
Give coding agents concrete interface-motion and visual-design guidance.

Github Awesome
Rewrite Claude Code responses into plainer language while preserving the agent and saved transcript.

Github Awesome
Run a long-lived, always-on AI agent in the cloud.

ManuAGI - AutoGPT Tutorials
Monitor and control terminal-based coding agents from an iPhone.

ManuAGI - AutoGPT Tutorials
Build voice agents that handle phone calls and website chat in Indian languages.

ManuAGI - AutoGPT Tutorials
Manage multiple coding agents side by side in one Windows workspace.

ManuAGI - AutoGPT Tutorials
Launch and operate a persistent cloud-hosted AI agent without managing local infrastructure.

ManuAGI - AutoGPT Tutorials
Let a teammate join and contribute to a live AI coding-agent session from another terminal.

ManuAGI - AutoGPT Tutorials
Run several AI coding agents concurrently in one repository without letting them overwrite each other's files.

ManuAGI - AutoGPT Tutorials
Build AI-powered backends and agents that stream model output, call tools, and return structured results. — Create Go services with model integrations, approvals, retries, timeouts, logging, and metrics.

ManuAGI - AutoGPT Tutorials
Capture screenshots and hand ambiguous visual differences to a coding agent. — Help judge image or UI diffs during comparison workflows.

ManuAGI - AutoGPT Tutorials
Use a built-in MCP server to provide coding agents with framework context. — Help AI coding agents work with a Webiny project.

ManuAGI - AutoGPT Tutorials
Study extracted and officially published system prompts. — Understand how AI chatbots, coding agents, browser assistants, and injected reminders are steered.

ManuAGI - AutoGPT Tutorials
Control coding agents from a mobile app, web app, or desktop app. — Remotely manage agents that continue running on the user's local hardware.

ManuAGI - AutoGPT Tutorials
Route reverse-engineering, penetration-testing, or CTF tasks to an appropriate method. — Guide coding agents toward the right security workflow before acting.

ManuAGI - AutoGPT Tutorials
Run agent sandboxes at scale — Operate parallel agents in Firecracker micro-VMs distributed across machines.

ManuAGI - AutoGPT Tutorials
Support scientific discovery — Let a local desktop agent read files, run code, search the web, call life-science data connectors, and produce reports, tables, and figures.

ManuAGI - AutoGPT Tutorials
Monitor AI agent activity — Normalize activity from desktop, CLI, IDE, and gateway agents and evaluate it for risky behavior.

ManuAGI - AutoGPT Tutorials
Conduct finance research — Turn natural-language finance questions into runnable analysis, backtests, reports, and multi-agent research across several asset classes.

ManuAGI - AutoGPT Tutorials
Build voice agents — Chain voice detection, speech-to-text, an LLM, and text-to-speech into a modular local or hosted voice system.

ManuAGI - AutoGPT Tutorials