Write the problem hypothesis
For [user], the agent loses or retrieves [information] incorrectly across [scope], causing [wrong action or repeated work].
You can name one user, one situation and one measurable consequence without proposing a feature.GPT is incredibly slow when searching/finding OpenAgentsControl context
Evidence observed in darrenhinde/OpenAgentsControl, a Coding project.
2 comments2 positive reactions200 days openProject Radar 85
Start free validation sprint4 guided steps · private notes · cloud sync
REPEATED ACROSS 2 PROJECTS
Related friction appears in 2 independent repositories. This is stronger than one backlog item, but still requires direct user validation.
Project strength and demand confidence are measured separately.SOURCE EVIDENCE
Read original GitHub Issue ↗Start with what users actually said
Reporter context: It takes GPT (any GPT model) upwards of 10 minutes to find OpenAgentsControl context. Running opencode on the normal plan/builder mode makes GPT work properly/fast.Excerpted from the public Issue. Read the complete thread before interpreting it.
Recruit: Recruit contributors who can replay the problem in a representative repository and development environment.
Guardrail: Use a fixed test case and compare completion, regressions and recovery against the unchanged baseline.
Interview five developers or engineering leads
- Which information must persist?
- For how long and within what scope?
- Show the last wrong or missing recall.
- What data must never cross boundaries?
- How do you correct memory today?
Run the smallest experiment
Test one constrained memory scope with a small real dataset and a written expected-recall benchmark.
The system retrieves the right evidence across repeated sessions without leaking or inventing context.Use a fixed test case and compare completion, regressions and recovery against the unchanged baseline.Make a build decision
- Build: repeated pain and active commitment
- Narrow: pain is real but the audience or job differs
- Stop: weak frequency or no behavioral proof
Why this brief exists
Information has value only when it changes action. This page turns one public signal into a bounded validation exercise. It is a research aid, not proof of demand, investment advice or a product recommendation.