insideLLMs — Evidence for model behaviour

Notes from the control plane

Practical guidance for teams moving from "prompt tuning" to governed model release operations.

Latest themes

No vibes. Only evidence.

Why behaviour validation needs deterministic inputs, stable artefacts, and versioned release criteria.

  • Confidence scores are not release controls
  • Probe suites outperform ad-hoc smoke testing
  • Run evidence must survive external review
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Behavioural diffs as evidence bundles

How baseline-versus-candidate comparisons reduce ambiguous regressions and speed reviewer decisions.

  • Make output deltas visible and inspectable
  • Map each diff to a policy decision
  • Use non-zero exits to enforce intent
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Tool call boundaries and blast radius

The most expensive failures usually come from action surfaces, not wording. Tool traces need first-class visibility.

  • Track read/write/transfer action classes
  • Treat new tool integrations as risk events
  • Review permission drift before deployment
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Summaries

No vibes. Only evidence.

Release quality for LLM systems is measured by repeatability. If teams cannot rerun the same probes and compare output changes deterministically, they cannot make defensible release decisions.

Behavioural diffs as evidence bundles

Diffs should be stored as artefacts with decision context. They are not diagnostics alone; they are the review object used to approve, block, or waive changes.

Tool call boundaries and blast radius

Any expansion in callable tools should be treated as a material behavioural change. Governance requires visibility into tool permissions, inputs, and side effects.