Fluent answers that cannot be traced back to a provision are unusable. This build grounds generation in a fixed corpus: 8.5M words, a Markdown-plus-JSON dual layer, an 8-step retrieval workflow, and a real case run end to end.
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.
An AI agent for business forgets rules that live only in chat. Put role, rules, and job steps in one folder—and copy a build prompt that interviews you and sets it up in any agent.
Concepts, terminology, learning paths, trends
An AI agent for business forgets rules that live only in chat. Put role, rules, and job steps in one folder—and copy a build prompt that interviews you and sets it up in any agent.
Expertise is not extra facts. It is knowing which fact applies and where to look first — the layer no one-line role instruction has ever managed to install. These 98 packs load it into an ai agent for business from official occupational data.
An open-source Claude Code Skill runs an 8-step pipeline over a single video: Gemini analysis, timed narration, Fish Audio voiceover, jump-cut trimming, adaptive subtitles, finished cut. It automates the labour and leaves the judgment with you.
Advertising has run on a fill-in-the-blank brief for sixty years. A prompt framework is the same instrument, aimed at an AI assistant for business instead of a copywriter. 18 tested across current models; start with the 3 beginner templates that cover 80% of daily asks.
Nobody automates the wrong thing on purpose. It happens because the problem got framed once, quickly, by whoever noticed it first — and then never got framed a second way.
Execution got cheap. Defining the outcome and judging the result did not. Five skills that keep compounding while ai automation tools rotate every season, plus a seven-day exercise for practicing them.
Chatbots answer. Agents act. Five distinct stages sit between those two verbs, and knowing which one a tool reached tells you whether an ai assistant for business will draft the reply or send it.
Signing a contract around a word nobody asked about costs more than looking uninformed in the meeting. Thirty-three terms filtered down to the six that move a decision, which is enough to hold your own when an ai assistant for business gets pitched.
Forty-one tools on the to-learn list and nothing automated yet. The problem is order, not volume. Four levels — vocabulary, workflows, delegation, repeatable systems — for operators who will buy workflow automation software later, not for future engineers.
The mistake is not picking the wrong assistant. It is reading comparisons for three months and installing none. Four questions, ninety seconds, one install, then four prompts that make ai for small business useful the same afternoon.
The five rounds of revision were never about the executor's skill. They were about a brief with no written definition of done. That gap is the real entry cost of business process automation, and Python is not part of it.
Six months of breakage, 40+ production-grade Skills, and a 78,000-word internal spec compressed into one 30,000-word read: SKILL.md, scripts vs SubAgents, run data, prompts, hooks. Beginner to designing your own toolchain, start here.
When I rebuild one with AI agents, you get the write-up — including the parts that didn't work. No weekly roundup, no "5 tools you need."