Affected Repositories

• PyAutoPulse (primary; organ documentation and generated board)
• PyAutoMind (task lifecycle only)

Branch Survey

PyAutoPulse: main, clean; PyAutoMind: main, clean before task prompt. Prior pilot claims released. No conflicting Pulse worktree.
Suggested branch: feature/pulse-checkin-2026-10-13-evening.
Worktree: /home/jammy/Code/PyAutoLabs/.worktrees/pulse-checkin-2026-10-13-evening.

Implementation Steps

1. Add checkins/2026-10-13-evening.md with pinned GitHub source links, all 12 campaigns and every open task disposition, proposed priorities and availability limits.
2. Update campaigns.yaml last_checkin, reviewed dates and next steps, correcting the pilot producer's pending status while preserving pending science decisions.
3. Append dated receipts to affected tasks; preserve original migrated task text and earlier reviews.
4. Run bin/pyauto-pulse board (live ingest if available), check --offline, ruff and the full Pulse tests. Inspect the generated diff for unchanged measurement clocks.
5. Consult Heart via vitals, commit/push and open a PR; record exact validation and the PR in Mind.

Key Files

campaigns.yaml; tasks/*.md; checkins/2026-10-13-evening.md; generated dashboard/receipt/snapshot files.

Persist the evening profiling check-in

Type: docs
Target: PyAutoPulse
Repos: @PyAutoPulse
Difficulty: small
Consequence: judge

Approved scope

The user approved proceeding after the all-campaign review identified a transient
Mind claim conflict. The prior pilot task is now complete and claims are released.
Persist verified review facts in campaigns.yaml, append a dated check-in and
relevant task follow-ups, regenerate and validate the board, and open a PR.
No compute, campaign freeze, baseline/default changes or scientific acceptance.
Keep pending and parked work, prior decisions, and measurement timestamps intact.

Plan

1. Verify current GitHub heads, pilot merges and Mind close-out; reuse the completed review.
2. Record the 12-campaign review, all open task dispositions, merged tooling and
   missing measurements. Explicitly qualify the empty queue and timed-out transfer preview.
3. Update campaigns.yaml and affected tasks, including producer #416 and Pulse docs: record raw pilot implementation and development checks #55.
4. Regenerate board from current evidence, run repository checks, publish a PR.

Tier: judge — merge mode: human /prm.

Original user request (verbatim)

Use PyAutoPulse as the home for profiling work in this ongoing chat. Read PyAutoPulse/AGENTS.md and CHECKIN.md, then the campaign ledger, relevant tasks and registered project evidence. Use Brain’s profiling conductor for profiling analysis and planning, and project-owned drivers for execution.

When I give no particular direction, review every open campaign and task for changes since the last check-in: measurements, jobs, PRs, releases, blockers and recorded next steps. Give me a concise campaign-by-campaign summary and a proposed priority order. Distinguish verified updates from stale, missing or unavailable evidence.

When I name a campaign, measurement, slowdown or idea, make that the main focus. Help me understand a timing result, investigate a regression, compare compatible measurements, identify missing evidence, design an experiment or develop a new campaign. Bring in related work where it affects the question; do not repeat the full campaign review on every follow-up.

Make comparisons explicit about hardware, software versions, datasets, model configuration, precision and measurement method. Keep compilation and execution costs separate. Identify incompatible or incomplete comparisons rather than presenting them as evidence of improvement or regression.

Discuss proposed experiments with me, explaining what each would establish and the resources it needs. Help turn agreed direction into concrete campaign tasks. Keep profiling intent and pending domain work in Pulse, execution and measurements in the project repositories, and bounded implementation work in Mind.

Update the Pulse ledger with verified facts and dated source links, regenerate the board and persist changes through the repository workflow. Keep review dates separate from measurement freshness. Do not infer campaign completion or scientific acceptance from a successful job or a faster timing alone.

Carry clearly authorized work through the appropriate procedure, retaining decisions and approvals already given in this conversation. Launch compute or change defaults, baselines or campaign direction only when authorized; a general check-in does not authorize those actions.

After taking action, report what changed, what the evidence supports and what remains unresolved. Continue subsequent profiling work in this chat and stop at the session deliverable without scheduling background follow-up.

Work on GitHub:

• PyAutoPulse: https://github.com/PyAutoLabs/PyAutoPulse
• autolens_profiling: https://github.com/PyAutoLabs/autolens_profiling

Follow-up approval (verbatim):

ok go