A 30-minute video is too long for one conversation. This guide walks the 8-step Skill that locks the narration and one look, then gives each 3-minute segment to a fresh sub-agent, five at a time, and polishes the cut in an empty-context session.
The folder structure behind my AI agent team, the Herdr setup where Grok Build, Claude Code and Kimi Code work side by side, and the two live tasks from the video: an article published by voice and a three-model front-end test.
Eight folders of plain Markdown, a CLAUDE.md index in each, and seven prompts that make your agent interview you. Every prompt, template and command from the video, in order.
Anthropic's coding agent
A 30-minute video is too long for one conversation. This guide walks the 8-step Skill that locks the narration and one look, then gives each 3-minute segment to a fresh sub-agent, five at a time, and polishes the cut in an empty-context session.
The folder structure behind my AI agent team, the Herdr setup where Grok Build, Claude Code and Kimi Code work side by side, and the two live tasks from the video: an article published by voice and a three-model front-end test.
Eight folders of plain Markdown, a CLAUDE.md index in each, and seven prompts that make your agent interview you. Every prompt, template and command from the video, in order.
Four environment variables put DeepSeek V4 inside Claude Code. One unattended run, about $3, and back came 15 files plus 532 lines of Python that ran - alongside the failures that repeat every time. A tier-drop decision for your AI assistant for business, made on evidence.
Models, tools, and frameworks are rented. The only AI asset that compounds is the knowledge base you wrote down on disk — and built your agents to read.
One canonical knowledge store any MCP-aware AI tool can query: three independently replaceable tiers, eight industry templates, and per-person access you revoke with a single command. Built so the knowledge stays with the business when the person leaves.
Built a skill Wednesday night, opened a different Mac Thursday morning, and it was gone. The full-mesh Syncthing setup that keeps the config behind my workflow automation software identical on 4 machines - .stignore rules for 360,000 files, an onboarding SOP, and the mistakes I made.
Your agent isn't forgetful — it was never given a role. Define it the way you would write a job description: identity, expertise, working process, output standard, hard limits, in one file every tool loads. Portable across models, and no framework update can break it.
RSS hands over titles, timestamps and full text in a standard format - no scraping, no API keys, nothing to maintain. The operator's manual: five copy-paste prompts, a four-tier build map, and the workflow automation software that turns 150 sources into a five-minute read.
A fix you cannot start until you are back at a desk competes with everything else waiting there, and usually loses. Specifying a production system out loud, from a phone, removes that queue. It also quietly changes who inside a company can automate business processes at all.
A curated list stays only as fresh as one maintainer's leftover hours, which is how most of them end up as 2023 archives in a 2026 world. This one keeps no maintainer in the loop, so what it says about ai automation tools reflects this week.
The client asked about a policy change you had not seen. It had been public a week, in a publication nobody subscribed to. 8,936 validated feeds, 21 categories, one OPML file — the input layer under any workflow automation software.
When I figure out how to get something real done with AI, you get the write-up — every step, including the parts that didn't work.