Platform Pellets
UAIX Handoff Chews
Portable memory, now with fewer missing decisions.
Plain English: Dogfooding verifies that startup packets, receiver briefs, file handoff, decisions, progress, and test-plan memory agree before work continues.
What this snack represents
Portable memory, now with fewer missing decisions. A structured handoff snack for agents that need context before chewing the next task.
Plain English: Dogfooding verifies that startup packets, receiver briefs, file handoff, decisions, progress, and test-plan memory agree before work continues.
Formula: 20m read order + 35m packet check + 35m decision reconciliation + 30m next prompt update
What this teaches: UAIX Memory, Handoff Evidence, Receiver Brief.
Why teams underestimate it
The shelf label works because the cost is usually hidden across clarification, review, context switching, QA, and follow-up decisions. BarkBowl makes those ingredients visible before the work is treated as free.
Time formula
20m read order + 35m packet check + 35m decision reconciliation + 30m next prompt update
Worked example
One serving of UAIX Handoff Chews is currently modeled at 2 hours, or 2 person-hours. Multiply servings when the work repeats, spreads across more people, or needs another review cycle.
Warning label
May expose stale memory if skipped.
Evidence needed
Before committing this snack, collect an owner, a reason, a time formula, a rollback or no-op alternative, and a short explanation of what the receipt does and does not prove.
How to reduce the cost
Memory Manifest Biscuits
No-op alternative
If evidence, authority, or capacity is missing, the mature move may be to record a no-op decision and revisit when the missing ingredient exists.
What this teaches
- UAIX Memory
- Handoff Evidence
- Receiver Brief
Related lesson
uaix-memory
Related field report
uaix-memory
Related glossary terms
UAIX Memory, Handoff Evidence, Receiver Brief
Related blueprint
Decision record starter ยท Open Blueprint Gallery
Copy decision-record starter
Decision: Consider UAIX Handoff ChewsTime formula: 20m read order + 35m packet check + 35m decision reconciliation + 30m next prompt updateEvidence: [link or owner] No-op alternative: [what happens if we do not act] Boundary: This is a draft for human review, not an approval. Reviewed at UTC: [timestamp]
Boundary note
This snack produces draft learning and time-burn evidence only; it does not approve fixes, validate credentials, train models, or certify safety.
Dogfooding notes
Exercises product snapshotting, time totals, TTL refresh, telemetry, learning translation, and checkout record creation.