Have we solved this payment timeout before?
FOR BUILDERS
Around your agents.
Not instead of them.
Keep the planner and runtime that work for you. Bring identity, policy, approvals and evidence to qualified interaction and effect boundaries.
ChatGPTpayments / retry-fix
ConversationThere’s a reviewed lesson for the payments project.
Reviewed lesson · retry safelyRecorded
- Guidance
- Keep the operation ID. Reconcile before retrying.
- Scope
- Payments project
- Review
- Lesson 12 · accepted revision
ChatGPTI can use that guidance without loading the old private conversation. I’ll check the original payment first.
Use the lesson. Save anything new for review.
ChatGPTThe original payment is confirmed. No duplicate request was needed. The focused check passed.
The new observation is saved as a candidate. Test, review and scope it before reuse. No permissions changed.
Request rejected. No action was dispatched. A new request needs its own review.
Example figures
Example figures
- Tokens
- 120,00072,00040% fewer
- Repeated attempts
- 52
- Task time
- 30 min18 min
Ready
A lesson informs the next change.
Reviewed guidance can help an agent prepare a fix. A release still requires a tested revision and current authority.
Read the decision path
- Developer
- Flags a recurring timeout.
- Agent
- Reads reviewed lesson.
- DriftGate
- Lesson is guidance only.
- Test and review
- Fix tested and approved.
- Project setup
- Approved setup released.
- Evidence
- Decision and result recorded.
- Allowed outcome
- The approved revision is observed on the intended project target.
- Unreviewed fix
- Draft cannot authorize.
ONE GOVERNANCE CONTRACT
Make intent explicit.
Keep authority current.
The model is the same whether a request starts in a coding client, a business agent or an unattended workload.
Exact actor, connection and resource
Material inputs bound to approval
A stable identity for the original effect
An attributable receipt and recovery path
{
"actor": "agent_example",
"action": "deploy.preview",
"resource": "project/staging",
"connection": "explicit_binding",
"policy": "current_at_point_of_use",
"approval": "bound_to_material_inputs",
"effect_identity": "stable_operation_id"
}This is a conceptual contract, not a released API schema or executable SDK example.
Give each effect an identity
A staging flag update carries exact actor, resource, operation identity and a receipt.
ChatGPTStaging flag task
ConversationOur assistant may update one staging feature flag. What must the operation identify?
ChatGPTThe authenticated actor, staging flag, proposed value, and governed adapter are explicit.
The staging request has an exact identity.
Exact staging operationRecorded
- Target
- checkout-preview in staging
- Identity
- Original operation retained
- Decision
- Allowed in current scope
What if the provider times out?
ChatGPTKeep OP-88 and mark its result unknown. Reconcile that same operation before any new write.
The provider confirmed the original update.
Write confirmedRecorded
- Provider
- Receipt linked
- Effect
- One staging update
Request rejected. No action was dispatched. A new request needs its own review.
Ready
- Maya
- ChatGPT
- DriftGate
- Feature flag service
- Outcome
API & SDK
Integrate at a typed, qualified boundary. Use the published contract for the actual release.
ExploreMCP surface
Expose shared governance through authorized tool discovery and invocation—not a parallel policy engine.
ExploreAgent-readable facts
Retrieve the same product scope, limitations and pricing status as the human site.
ExploreBUILD WITH INTENTION