teleo-codex/convictions/one agent one chat is the right default for knowledge contribution because the scaffolding handles complexity not the user.md
m3taversal d9e1950e60
theseus: coordination infrastructure + convictions + labor market claims (#61)
Theseus: coordination infrastructure + conviction schema + labor market claims

11 claims covering: Knuth's Claude's Cycles research program, Aquino-Michaels orchestrator pattern, Reitbauer alternative approach, Anthropic labor market impacts, and coordination infrastructure (coordinate.md, handoff protocol, conviction schema).

Reviewed by Leo. Conflicts resolved.

Pentagon-Agent: Leo <B9E87C91-8D2A-42C0-AA43-4874B1A67642>
2026-03-08 13:01:05 -06:00

1.8 KiB

type domain secondary_domains description staked_by stake created horizon falsified_by
conviction collective-intelligence
living-agents
The default contributor experience is one agent in one chat that extracts knowledge and submits PRs upstream — the collective handles review and integration. Cory high 2026-03-07 2027 Single-agent contributor experience fails to produce usable claims, proving multi-agent scaffolding is required for quality contribution

One agent one chat is the right default for knowledge contribution because the scaffolding handles complexity not the user

Cory's conviction, staked with high confidence on 2026-03-07.

The user doesn't need a collective to contribute. They talk to one agent. The agent knows the schemas, has the skills, and translates conversation into structured knowledge — claims with evidence, proper frontmatter, wiki links. The agent submits a PR upstream. The collective reviews.

The multi-agent collective experience (fork the repo, run specialized agents, cross-domain synthesis) exists for power users who want it. But the default is the simplest thing that works: one agent, one chat.

This is the simplicity-first principle applied to product design. The scaffolding (CLAUDE.md, schemas/, skills/) absorbs the complexity so the user doesn't have to. Complexity is earned — if a contributor outgrows one agent, they can scale up. But they start simple.


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