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Community — page 4

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Module 6: AI protocol ecosystem

Engineer at a desk with two monitors of code, an open laptop beside them

Lesson 1

Module 6: AI protocol ecosystem

Module 6 of the community course: the open protocols at each join an AI system crosses, the harness that checks them, and the model work in Python.

Hand drawing on a tablet with a stylus

Lesson 2

Meetup talk: An advanced SI protocol ecosystem

Module 6's first half as a twenty-five-minute meetup talk: one agreement per join, geometric reasoning as data, the tandem harness, its wire and extensions.

Person studying a wall of colourful sticky notes in a darkened room

Lesson 3

The AI protocol map

The open agreements at each join an AI system crosses, from MCP and A2A to AGENTS.md, Agent Skills and OpenAPI, and an MCP tool server built by hand.

The diamond lattice of a glass tower’s panels against a grey sky

Lesson 4

Geometric reasoning as data

Geometric reasoning as data: behaviors as points in a design space with a distance, facts as a graph, matched families and evidence that arrives in order.

Two developers at a desk, one typing on a laptop while the other watches

Lesson 5

The tandem harness

A tandem harness runs beside the model on every request: the model proposes and typed code decides, with one offer list, a checked answer and a time limit.

Hands typing on a laptop set in front of a desktop monitor

Lesson 6

Server and client in tandem

A booking in two rounds on MCP's multi round-trip shape: a pure step, signed request state used once, strict decoding and one contract.

Branching blue coral photographed against black

Lesson 7

Extending the harness

A harness grows at documented points, never by forking its core: instructions, skills, subagents, hooks and tools, in the harness you use and one you ship.

Team meeting seen through a glass wall in a bright modern office

Lesson 8

Python, the team’s way

How the team writes Python: modules run with python -m, a locked environment, pure functions, frozen data, one config read once and named tests.

Hands drawing a technical diagram in pen on white paper

Lesson 9

Measuring reasoning on the geometry

Measurement before training: pairs scored together, difficulty read cell by cell, and a full factorial over the probe sheets read as effects.

Microscope view of a triangular diatom whose shell is a fine, regular lattice

Lesson 10

Geometric reasoning in model training

Training rows as contracts: prompts taken from what serving logged, structured answers judged field by field, and voice pairs one trait apart.

Curved, tiled panels of a building fanning out against a grey sky

Lesson 11

From fine-tune to release

A model released under rules written first: a gate per point against the model in service, one look per test set, splits by place and a declared base rule.

Also in the community

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Joining the team

Joining the Sean Dinwiddie's Webmastery team asks for quality work: you keep your own practice and 70% of the fee, and the name brings in local clients.

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Our community: Offer and prices

What the community offers, who it is for and its membership prices. Webmasters join the team through quality work, with no membership tier needed.

The Redux logo beside the Sublime Text logo

P.S. Did I mention my fondness for coding Redux.js apps? And that I also love Sublime Text! ✌🏻

A personal note on the tools behind the work: Redux.js applications, Sublime Text, and why the choice of editor still matters.

Close view of hands typing on a laptop keyboard at a wooden desk

From marketing to development

The team's cut-sheet: the path from cold leads to delivered work, and what the team produces in-house.

Copyright Sean Paul Payne Dinwiddie
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