hq/00-META/process/01-research.md

Playbook 01 — Research

Trigger. An idea the operator expresses, or an idea, technology or approach worth investigating before it is committed to design. Also: an as-is document that raises a question nobody can answer. A symptom (a bug, something broken) is not research: it follows playbook 03.

Who runs it. Anyone; in an agent session, the session that heard the idea leads it.

Where it lives. A research effort lives whole in the knowledge base, the seat knowledge-base, reached through the mesh MCP server from any node and any folder (ADR 0290). This repository holds none.

The cycle it starts

idea ─► research (01) ─► decisions and design (02) ─► work breakdown in milestones (04)
     ─► each milestone built and delivered as one feature step (07) ─► what is reported afterwards (03, 08)

An idea arrives in one of two forms, and the first step differs:

• A new idea, where only the mesh's own context matters: read what the knowledge base holds on it.
• An idea for an existing application: read that application's to-be and as-is designs, its decision records and its open issues first; the effort touches them.

Steps

1. Read what is known. knowledge-base.ask with the idea in plain words returns the decision records and research efforts that bear on it; knowledge-base.get reads one (reasoning: true, or section, for its documents). Read the issue tracker for open issues in the same area (issue-tracker.list).

2. Ask the operator to set it up. A few questions, one at a time, each answerable with a choice and carrying a recommendation: what comes first, what is out of scope, which options must be tried, what done looks like. Three to five questions is usual; the answers are the effort's first findings.

3. Take a number. knowledge-base.reserve with kind: research and for: the effort's title. The number is spent whether or not the effort is ever proposed; one never proposed is withdrawn after a week. Never pick one by hand.

4. Propose it. knowledge-base.propose with kind: research, the number, a one-line title, status: active, date (the day it began), and sections, each a name and its markdown text:

   • 00-overview.md: the idea in the operator's words, what exists, the operator's answers (dated), and the words the effort uses that the glossary lacks, each defined in one line;
   • 01-questions.md: the questions to answer, the first ones first;
   • 02-method.md: what will be tried and measured, and on what.

   Name what it touches as links of kind touches ("0276", "research 045", "issue 365", or a design's path), and what it names for another reason as cites.

5. Do the research. Try, measure and read, smallest question first. Each finding goes into 04-findings.md: what was tried, what it showed (with numbers), what it means. Each change of the effort is knowledge-base.propose again, whole, with why; every version is kept, and knowledge-base.history lists them and gives the difference between two. Until issue 844 is delivered, the knowledge base takes a new version of an accepted, active effort only as a progressive insight: give insight, saying what the effort held before the new finding, and mark the finding in the text with its date.

6. Settle the direction with the operator. When the questions are answered, write 05-direction.md: the proposed decisions in a few lines each, the options rejected and why, what is left open. Ask the operator to confirm or change it, one point at a time. Then the effort graduates through playbook 02.

Bounds and models

Step	Bound	Model
reading and the setup questions (1, 2)	30 minutes	the session's own, larger
proposing (3, 4)	15 minutes	larger
each experiment or reading task (5)	30 minutes	smaller, one agent at a time unless the operator allows more
the direction (6)	30 minutes	larger

A step past its bound is said to the operator at once, with what is being done about it. The lead reports as playbook 07 does: every ten minutes and at once when something is found, stops or needs the operator, with the allowance used.

What makes research worth reading

State evidence, not assertion. "Zero of 124 modules declare brain as a dependency" outranks "the dependency rule is not followed". An effort that measured nothing has not finished.

Research describes real observations but never identifies the mesh it observed. The shape of a finding survives anonymisation intact — a node publicly named but behind a household NAT carries the whole lesson without naming anything.

propose refuses an effort that breaks a rule that judges one record (an unknown status, a link to nothing, a retired word, a daemon's line), naming every reason at once and writing nothing. The knowledge base then reviews the proposal itself; on changes the effort stays proposed with the findings and its author proposes it again, at most three times before the findings go to the operator with a recommendation. An effort that needs the operator's word is proposed with needs-operator: true and waits for the operator's Approve on a channel that proves who answered.

Do not

• Do not put status in prose. It is the effort's status, and the prose must not restate it.
• Do not give a became link while the effort is open — playbook 02 gives it at closure.
• Do not write into 03-DESIGN from an open effort.
• Do not write an effort, or a copy of one, into this repository: records.py refuses a new path under 01-RESEARCH/.

Closing

An effort never just stops. It closes through playbook 02 as graduated or abandoned, always with a became link to what it turned into. Nothing is deleted — what was rejected, and why, is the more expensive half to rediscover.

How it is checked

The rules on an effort are the knowledge base's: propose refuses one that breaks a rule that judges one record (the module's table test holds one case per rule), and the rules that judge the whole record set run after every acceptance and raise a condition when one fails. That this repository holds no effort is records.py's no-records check, on every pull request. An active effort with no new version for seven days is the smell of research left behind: its lead closes or continues it.