Pick one experiment, paste it into the agent you already use, and let it inspect your actual repo, docs, tickets, or workflow. The point is to find where your team loses judgment and turn that into reusable agent memory.
Turn a real workflow, decision, or lesson into durable memory.
2
Retrieve
Load that memory before the next agent reasons.
3
Apply
Use the memory in the actual task, not a demo sandbox.
4
Report
Record whether it helped so Cognition can strengthen, weaken, or refresh it.
copy-paste
Five experiments to run first.
Any team
Find repeated work
Look at the project or workflow context you can see. Find 5 places where our team repeats work, rediscovers decisions, or relies on knowledge in someone's head. For each one, say what Cognition should capture, when a future agent should retrieve it, and how we would know it helped.
Engineering, support, ops
Capture one skill
Turn what we just did into a Cognition skill with When to fire, Steps, Checks, and Why it works. Only include reusable workflow knowledge. Do not include secrets, raw logs, or one-off details.
Founders, product, engineering leads
Check decision continuity
Look at this plan and check whether it conflicts with any prior decision, product direction, architecture choice, or customer promise we should remember. Tell me whether to follow, revisit, or explicitly override the decision.
Power users and teams
Inspect context
Explain what context you are using for this task. Separate it into user request, repo or file context, tool outputs, Cognition memory, and hidden provider/system context you cannot inspect. Then tell me which pieces should be pinned, compressed, muted, or ask-first.
Agent-heavy teams
Orchestrate a run
Use Cognition as the orchestrator for this goal. Create a run plan with sensor layer, policy layer, twin-brain or skill memory, tool or agent assignments, quality gates, and learning-loop receipts. Ask before external side effects and record execution receipts as you work.