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Tag Archives: typed-ai-decisions

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  2. Posts tagged "typed-ai-decisions"
Diagram of the Typewright pipeline: YAML declaration and four labeled splits feed a compile stage of template baseline, architect, GEPA wording and validation selection, followed by calibration policy fitting, freeze, held-out test and reports, and finally a runtime that returns typed decisions to the application.
Building a Research-Driven, Evidence-Based AI Application
0
22, Oct, 2026
  • Blog

Building Typewright, an alpha compiler for typed AI decisions, with research-cited design, hashed evidence, and an honest negligible live gain.

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Bar table for the issue 48 routing study: current unguarded 6 of 12 correct with 5 unsafe fake dispatches, guarded current 8 of 12, deterministic cue router 12 of 12, JEV synthetic choices 12 of 12 at higher synthetic cost.
Finding Where AI Decisions Actually Improve Existing Software
0
22, Oct, 2026
  • Blog

An offline evaluator that finds judgment calls in code, gates every change behind approval, and runs studies allowed to say no. Five of six did.

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Diagram of the TypeCheck moderation pipeline. Gateway ingest, worker refetch and an exact hash check are deterministic steps; the model call is the only probabilistic step. Evidence binding, resolvePolicy, execution gates and dispatch follow. When a gate fails or evidence is insufficient, the message goes to human review, and an audit trail records every evaluation.
Designing Deterministic AI Moderation for Discord
0
22, Oct, 2026
  • Blog

How TypeCheck keeps a probabilistic model out of Discord moderation decisions: typed answers, pinned versions, one policy engine, and human review.

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    • ClawExplorer.AI
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      Mar 19, 2026
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      May 30, 2024
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        Oct 27, 2023
      • Microsoft Azure Fundamentals (AZ-900): Exam Tips
        Oct 27, 2023
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        Oct 26, 2023
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