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manfromnowhere143/README.md

Daniel Wahnich

AI systems engineer. Building Nisayon.

I study how to diagnose failures, test corrections, and decide what the evidence supports.

Selected work

Nisayon logo Nisayon · Repository · Interface · Contributions
Experiments for diagnosing robot-policy integration failures and testing corrections on fresh conditions. The Python SDK retains replayable evidence; savings in total engineering work remain unproven.

Atlas · Private development
An agent execution and evidence system studying when to execute, verify, repair or stop. Comparative benefit remains unproven.

Telos logo Telos · Repository · Interface
Research on coding-agent patches that pass graded tests but fail additional checks. Findings remain limited to the tasks and reference implementations studied.

Sentinel logo Sentinel · Repository · Interface
Runtime monitoring and recovery around frozen driving planners. Closed-loop studies report benchmark gains, intervention costs and null transfer.

Reiyah logo Reiyah · Repository · Interface
An offline engine for comparing perception systems under incomplete or disputed reference evidence. Returns checked loss bounds; reduced total effort remains unproven.

Inbar logo Inbar · Repository · Interface
Research on diagnosing physical causes through tests that distinguish competing explanations. No physical result has been established.

Odeya logo Odeya · Repository · Interface
Architecture for a research engine linking questions, evidence and separately assigned verification. Contracts and fixtures exist; the engine is not built.

Aweb logo Aweb · Earlier work · Website
Governed AI-agent orchestration, connecting tools, durable workflows and operator approvals.

Elsewhere

Website · LinkedIn

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  1. sentinel sentinel Public

    Runtime introspective safety monitor for a frozen driving planner — cutting collisions closed-loop on NeuroNCAP. Pre-registered, receipted.

    Python

  2. telos telos Public

    Evidence protocol and benchmark harness for verifying autonomous agent task completion.

    Python

  3. inbar inbar Public

    Physical causal evidence for autonomous fault diagnosis — open-world mechanism hypotheses, safe discriminating tests, independently adjudicated recovery. Authority-separated, receipted.

    Python 1

  4. odeya odeya Public

    Odeya: a governed, replayable research-engine architecture. Question to contract to evidence to independent verification to bounded claim. Architecture foundation only; every gate has a known-bad p…

    Python

  5. etzio etzio Public

    Evidence-native operating system for authorized vulnerability research

    Python

  6. nisayon nisayon Public

    Experiments for robot-policy integration, with fresh confirmation and retained failures.

    Python