Build software around business rules
Turn business requirements into shared terms, behavior checks, and code your agent can keep changing. Use a local prototype to expose missing decisions.
8 min Nº 064 · October MMXXVIObservatory open
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How AI models actually work: what they can do, where they fail, and how to tell the difference.
Getting the right material in front of the model: instructions, examples, and retrieved context, arranged so what matters stands out.
Models that act on their own: tools, MCP, and multi-step workflows that hold up without you watching.
Shipping AI features other people can rely on: APIs, retrieval, and evals that prove it works.
The daily habits: verification, taste, and knowing when not to use the model.
Turn business requirements into shared terms, behavior checks, and code your agent can keep changing. Use a local prototype to expose missing decisions.
8 min Nº 064 · October MMXXVIChoose one recurring task, give an existing agent your files and procedures, and check the result. Use Harness Firmware to keep the verified setup with your project.
8 min Nº 063 · October MMXXVICompare a proposed AI workflow change with your current process, including setup, correction, maintenance, and the time you spend checking results.
7 min Nº 062 · October MMXXVI| Layer | Constellation | Guides | Topics |
|---|---|---|---|
| Foundations | THE LENS | 3 | model behaviormodel choicewriting prompts |
| Prompting & Context | THE LOOM | 8 | writing promptsplanningverification |
| Agents & Automation | THE COURIER | 32 | automationskillsverification |
| Building with AI | THE FORGE | 6 | teamsverificationmodel choice |
| Practice | THE METRONOME | 8 | cost controlverificationcareer |
| Browse the whole catalogue 57 guides · 18 topics → | |||
“Agents earn promotions one job at a time.”
Delegate to your agent in stages
“An agent that lives in the team chat already knows the context.”
Buzz puts AI agents in your team chat
“Read the rewrite before you run it.”
Power start sessions with /enhance-prompt
CoreWise Academy is a free library of original guides on working with AI. Each guide distills real sources (lectures, official docs, field notes) into a short read with objectives, an exercise, and a self-check. There are 57 published guides, about 384 minutes of reading in total.
Nothing: $0, no account, no signup, no newsletter gate. Admission is 100% free and every guide is open to read in full.
Start with the Foundations layer if you are new to working with AI, or jump straight to the layer that matches your problem: Prompting & Context, Agents & Automation, Building with AI, or Practice. Levels run Broad, then Practitioner, then Deep, and prerequisites are marked on every guide.
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