Autopilot for product work: auto-draft + needs-review queue
Autopilot isnt auto-ship. Its scheduled drafts with guardrails: review queue, thresholds, caps.
Notes on running one trusted loop first, reviewing evidence, and expanding automation only after the lane is stable.
Autopilot isnt auto-ship. Its scheduled drafts with guardrails: review queue, thresholds, caps.
The contract core now drives web, API, MCP, and GPT from one runtime model.
How R1/R2/R3 risk classes shape approval requirements and automation boundaries.
I shipped meeting intelligence as an execution compiler, not a recap archive.
A simple outcome check schedule (+24h, +7d, +14d) so your roadmap stops being a story.
A brief you can defend: claim -> evidence -> pattern -> scoped change -> measurable acceptance criteria.
I shipped scheduling and booking as a decision engine with policy and risk controls.
I stopped treating PM as ticket theater and shipped a contract-backed execution graph.
Replacing your tracker creates a second graveyard. Export artifacts into Linear/Jira instead.
I rebuilt PM, scheduling, and meeting intelligence into one operations OS. Here is what is live and why fragmented stacks lose.
A practical Impact Report template to make blast radius explicit before you ship.
PRDs are too big. Tickets are too small. Use a Change Card: intent -> AC -> surfaces -> verification -> rollout.
Most SaaS products have pricing contradictions hidden in their docs, support tickets, and feature comparison pages. Heres how ContractSpec finds them automatically.
A deterministic product loop: evidence -> Change Cards -> Impact Reports -> exports -> outcome checks.
Most product teams ship and hope. The Check is a scheduled verification that proves your change actually worked — with data, not assumptions.