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Enhance README with execution and outcome signal insights#16

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Jul 6, 2026
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Enhance README with execution and outcome signal insights#16
jennyf19 merged 1 commit into
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jennyf19-patch-1

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@jennyf19 jennyf19 commented Jul 6, 2026

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Expanded the README to explain the importance of execution and outcome signals, their implications for trust in AI systems, and related industry directions.

Expanded the README to explain the importance of execution and outcome signals, their implications for trust in AI systems, and related industry directions.
Copilot AI review requested due to automatic review settings July 6, 2026 17:09
@jennyf19 jennyf19 merged commit 1288cdb into main Jul 6, 2026
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Pull request overview

This PR expands the Agent Signals documentation to clarify why execution signals are inherently lossy, why outcome signals provide durable verifiability, and how the gap between the two supports trust/calibration in agent systems.

Changes:

  • Adds a new section contrasting execution vs. outcome signal capture reliability and the trust implications of each.
  • Adds a “Related Industry Direction” section tying the protocol to broader verification/oversight trends.

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Comment thread agent-signals/README.md
Comment on lines +323 to +325
**Design implication:** don't build your trust story on execution signals
alone. Anchor it to something durable. Treat execution signals as valuable-
but-lossy self-report, and treat outcome signals as the verifiable backbone.
Comment thread agent-signals/README.md
Comment on lines +332 to +340
Frontier model providers are shipping architectures that separate capability
from verification.

Anthropic's Claude Fable 5 and Mythos 5 (2026) expose the same base model
through two tiers: a generally-available tier (Fable 5) with external safety
classifiers that intercept high-risk requests and route them to a fallback
model, and a restricted tier (Mythos 5) without those classifiers, available
only to vetted partners. The two tiers differ not in capability but in the
safeguards and vetting applied around access.
Comment thread agent-signals/README.md
Comment on lines +346 to +348
against independent evaluation, over time.* The calibration gap between what an
agent claims about its own work and what an independent evaluation confirms is
a number you can track run over run.
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2 participants