AI Systems & Agent Reliability
I build and investigate agent systems where an accepted decision is not treated as permission to mutate forever: authority is bound to state, effects are read back, evidence is verified, and stale decisions fail closed before the effect boundary.
Featured developer-facing proof
Two public assets are merged into the same dependency-free Python reference repository and tied to executable tests and public CI.
5-minute reliability quickstart
Walks through INTENT → AUTHORITY → MATERIALIZATION → READBACK → RECEIPT → VERIFICATION and includes a deterministic fail-closed drift path.
An accepted agent action is not necessarily executable
Explains why DECISION_ACCEPTED != EXECUTION_SAFE, traces the exact state-digest guard before execute(...), and proves the blocked target remains unmodified.
Main SHA 000e5723737605dda30e68646e28f54448877967. The post-merge workflow installs from source, runs the quickstart, runs the unit suite and verifies installed imports outside the checkout.
Authored upstream OpenAI contributions
These are public contributions to OpenAI repositories. Their current state is shown explicitly; open PRs are not represented as accepted or merged work.
Agents SDK PR #4868
Makes Responses-chain and history ownership explicit across compaction, destructive mutation, cancellation and stale publication boundaries.
Current head 5702cf2…. PR body reports 69 focused memory tests and 217 total memory tests passing, plus Ruff, mypy and Pyright checks. The upstream Actions run is action_required with 0 jobs, so it is not labeled CI PASS or FAIL.
Codex plugin PR #730
Adds opt-in --prompt-file-consume with deliberate READ → DELETE → DISPATCH ownership ordering. The PR reports 3/3 focused runtime tests and 28/28 non-runtime tests passing; it does not claim a full Windows-suite pass.
OpenAI Go PR #885
Clarifies Bedrock Mantle model-family API roots while preserving existing SDK behavior. Documentation-only; no SDK behavior, authentication, signing, generated code or exported API changes are claimed.
Reliability method
Bind authority to current state
An approval is evidence about one intent evaluated against one state, not a timeless capability token.
Fail before the effect boundary
Revalidation must happen before the side effect. Compensating after an unsafe mutation is a different guarantee.
Read back the effect
prepared != executed and executed != observed. Success claims require evidence from the target boundary.
Preserve negative evidence
Invalid environments, stale findings and failed execution routes stay in the audit trail instead of being rewritten as successful attempts.
Selected investigations
Async cleanup ownership · Agents SDK #4747
Investigated the teardown boundary where registry ownership can disappear before backend cleanup settles.
Startup cancellation ownership · Agents SDK #4749
Investigated resources created before registry ownership is established and cancellation arrives during the transfer window.
Fail-closed CI ordering · Python SDK PR #3780
Reviewed prerequisite ordering and cancellation semantics; a later stale blocker was publicly withdrawn after re-reading the current head.
Current public links
GitHub · Verifiable Agent Control Plane · RUMBO IA · Demo & Enterprise Readiness Kit
Overall claim boundary
REFERENCE_IMPLEMENTATION != PRODUCTION_SYSTEM; OPEN_PR != MERGED_CONTRIBUTION; CONTRIBUTION != AFFILIATION. No paid-customer adoption, enterprise production scale, security certification or OpenAI employment/endorsement is claimed here.