AI Pillar Hub
Short, original notes on real agent workflows, with the tool they used and a prompt you can try.
Claude Code · content-creation
Brooke Lacey demonstrates using Claude Code to edit raw phone footage into a TikTok video. The agent adds captions and jump cuts, producing the edited clip in about 15 seconds.
Source · Lenny's NewsletterEdit this phone video into a TikTok clip with jump cuts and captions, removing pauses while preserving the main message.
Claude Code · personal-productivity
A job seeker used Claude Code with the ego lite browser to fill in repetitive information on career portals. The setup reused existing browser logins and left application submission to the user.
Source · Reddit r/AI_AgentsUse my resume to fill out this job application in the browser, flag missing information, and stop before submitting.
Claude Code · personal-productivity
A team used Claude Code to open nine links, but a shell loop bypassed their browser safeguard and launched them in the wrong profile. They revised the hook to block browser commands when it could not determine the destination.
Source · dev.to #claudecodeOpen these links in my designated browser profile, checking each destination and the profile before launching.
Claude Code · coding
A developer used Claude Code to create simple pages with several frontend approaches. For single-page demos, they usually requested vanilla JavaScript so the result could be self-contained.
Source · Hacker News commentBuild a single-page demo using plain HTML, CSS, and JavaScript, keeping everything in one self-contained HTML file.
Claude Code · operations
A user used Claude Code to configure a headless MacBook Air with nix-darwin for system management. The machine became an iMessage bridge and a secondary DNS server for their home network, with setup taking about an hour.
Source · Hacker News commentHelp me configure a spare MacBook as a headless server managed with nix-darwin, running an iMessage bridge and secondary DNS for my home network.
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A platform that enables deployment and execution of AI coding agents on an expandable, infinite canvas workspace.
AI Agents & Workflows
Step 5 is a 600-billion-parameter open-weight model designed for long-running autonomous agents.
AI Agents & Workflows
Handle phone conversations with an AI voice assistant.
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Build business apps and automate processes with AI agents.
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Governs skills, tools, hooks, and MCP servers for coding agents.
AI Agents & Workflows
Build managed AI agents that work with enterprise data.
AI Agents & Workflows
Connects agents to managed services through a command line interface.
AI Agents & Workflows
Let coding agents communicate across people through shared channels.
AI Agents & Workflows
Answers questions and performs coding and website-building tasks.
AI Agents & Workflows
App automation and AI actions.
AI Apps & Frameworks
Build AI apps and workflows, and generate content across media.
AI Apps & Frameworks
Build and operate enterprise machine learning applications and agents.
Projects on GitHub
AI Agents & Workflows
Build collaborating AI agent teams with memory and tools.
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Coordinate agents with shared state, safeguards, and token budgets.
AI Agents & Workflows
Install OpenClaw through Nix packages
AI Agents & Workflows
Give AI agents browser access for web automation.
AI Agents & Workflows
Orchestrates parallel coding teams with scheduling and quality checks.
AI Agents & Workflows
Makes a local coding agent callable by approved workflows.
AI Agents & Workflows
Build networks of AI agents that communicate and collaborate.
AI Agents & Workflows
Experiment with lightweight coordination between AI agents
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Automate a hardened installation of the Clawdbot assistant
AI Agents & Workflows
Run scheduled autonomous agents from a Rust-based system
AI Agents & Workflows
Build general-purpose AI agents with browser and execution tools
AI Agents & Workflows
Coordinates coding tasks across multiple AI tools and models.
AI Agents & Workflows
Add reusable professional task skills to AI assistants.
AI Agents & Workflows
Create multi-agent systems with workflows, memory, and tool integrations.
AI Agents & Workflows
Foundation framework for building and deploying intelligent autonomous agents.
AI Agents & Workflows
Build typed Python applications with AI models
AI Agents & Workflows
Run structured debates between language models in the terminal.
AI Agents & Workflows
Build agentic retrieval-augmented generation apps
AI Agents & Workflows
Installs and scans skills and MCP servers for AI agents.
AI Agents & Workflows
Connect multiple AI coding assistants through one MCP server.
AI Agents & Workflows
Use tree-search algorithms to guide AI agents through tasks.
AI Agents & Workflows
Framework making AI accessible to everyone by providing tools for building AI applications.
AI Agents & Workflows
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
AI Agents & Workflows
Give AI agents browser sessions and web automation tools.
AI Agents & Workflows
Host AI agents with memory, schedules, tools, and delegation
AI Agents & Workflows
Improve AI agents with an open-source platform.
AI Agents & Workflows
Move projects through issue-based planning and agent execution.
AI Agents & Workflows
Sphere SDK gives autonomous agents identities and wallets so they can discover, negotiate with, and pay other agents. It supports peer-to-peer transactions with an emphasis on priv
AI Agents & Workflows
Turns repeated website interactions into reusable agent commands.
AI Agents & Workflows
Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.
AI Agents & Workflows
Coordinate tasks across AI agents through MCP.
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OSWorld is a NeurIPS 2024 benchmark for evaluating multimodal agents on open-ended tasks in real computer environments.
AI Agents & Workflows
Deploy autonomous AI assistants with a lightweight framework
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AI Agents & Workflows · Oct 19, 2026
MiniMax released M3.1 Flash, an agentic mixture-of-experts model with 428 billion total parameters, about 23 billion active parameters, and a one-million-token context window. Input pricing starts at $0.15 per million tokens.
Source · MarkTechPostAI Agents & Workflows · Oct 18, 2026
Web-reading AI agents incur both retrieval fees and model-processing costs. Search and page-fetch requests create one expense, while tokens used for reading, reasoning, and generating responses create another.
Source · MarkTechPostAI Agents & Workflows · Oct 18, 2026
Anthropic has sharply reduced junior technical hiring as AI agents take on more work. Researchers warn that eliminating entry-level roles could eventually reduce the pipeline of experienced specialists.
Source · The DecoderAI Agents & Workflows · Oct 18, 2026
OnlyFans creators are criticizing Meta for allowing its Muse AI agent to engage in sexual conversations while restricting adult performers’ social media accounts. The dispute highlights inconsistent platform rules around AI-generated sexual content.
Source · Wired AIAI Agents & Workflows · Oct 18, 2026
Taste-Bench evaluates how well AI agents make strategic decisions during long-running tasks. The strongest tested model answered fewer than 60% of simple binary questions correctly, and extended reasoning did not improve results.
Source · The DecoderAI Agents & Workflows · Oct 18, 2026
Google Research released Harness2, an open framework that recursively improves an AI agent’s harness at test time. Early testing improved GLM-5 performance without changing the model’s weights.
Source · MarkTechPost