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Voice + consistency: vary stock formulas, vendor-balance orient.py, unify loop (#48,#49,#51) (#68)

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Co-authored-by: claude <claude@jpaul.io>
Co-committed-by: claude <claude@jpaul.io>
This commit was merged in pull request #68.
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Claude (agent)
2026-06-22 17:45:33 -04:00
committed by Claude (agent)
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modules/20-mcp-servers-giving-the-ai-hands/README.md
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@@ -201,9 +201,9 @@ that same AI hands beyond the repo. The next three modules build directly on it:
## The AI angle
A generic integration course would teach you to wire systems together for *programs* to use —
fixed clients calling fixed endpoints. MCP is shaped for a different consumer: **an AI that decides
at runtime what it needs.** That changes what matters about the integration.
Most integration work wires systems together for *programs* to use — fixed clients calling fixed
endpoints. MCP is shaped for a different consumer: **an AI that decides at runtime what it needs.**
That changes what matters about the integration.
- **Discovery, not hardcoding.** A traditional client is written against specific API calls by a
human. An MCP client hands the AI a *menu* — tool names, descriptions, argument schemas — and the