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.
Build software with AI: Claude Code, Codex and friends, plus vibe coding for non-coders
Nothing throws an error when ai automation tools run on the settings they shipped with. The cost surfaces as rework nobody traces. Nine Codex modules govern instructions, sandboxing, profiles, hooks, and context; most installs configure none of them.
An unwritten rule costs you one mistake per new person. Coding agents shorten that to one per session, since each starts blank. Twelve lines of business process automation in a file the agent reads before touching anything, grown only when something breaks.
Abundant material with no ordering is why Codex feels harder than it is. Twelve topics ranked by payoff, three routes by role, and the three that earn their keep in month one — the sequencing problem behind every workflow automation software rollout.
Unused seats are rarely a product failure. They are an interface mismatch nobody checked before buying. Four Codex doors run one engine, and fitting ai automation tools to how a person already works beats fitting them to a feature list.
Producing text about a task and finishing the task are different products sold at the same price. Codex ships the second kind, and its thrice-reused name is why search results contradict each other. The definition-of-done test applies to any workflow automation software.
A practical comparison of major AI coding tools, based on daily production use of Claude Code, Codex, and Cursor. The reusable part of any ai automation tools decision is the framework, not the price table: cost drivers, a nine-dimension scorecard, and source links for current vendor docs.
I cannot access that is a permissions statement, not a capability limit. This guide connects Codex to live tools: first server in under 10 minutes, which servers a beginner actually needs, config.toml field by field, and the security traps to avoid.
Three scheduling systems in five years, and the same thing broke each quarter because nobody wrote down who approves a shift swap. Tools rotate; the five pillars of business process automation that survive every swap do not.
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.
Building a website with AI is no longer about picking a tool, it is about picking an input method. Seven ways in, compared on cost, output quality, and where each one breaks: prompt, screenshot, Figma, video, sketch, URL, and design system.
Delegated work without a receipt is not delegated, it is just moved somewhere you keep checking. Three ways to close the loop: Hooks for a quick script, Channels for two-way chat, and a Hermes MCP bridge for cross-device push, with config code for each.
Plugins bundle skills, commands, subagents, hooks and outside connections into one installable unit - 30 seconds to install, which is exactly why the security check matters. Browse the official directory, verify a plugin loaded, judge its reach, and package your own 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.