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Integrate founding explorations and bootstrap operational radar

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Assistant-Model: gpt-6-astra
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# Capability Advisor ticket
Status: draft / reviewed
Date and evidence cutoff:
Policy IDs: benchmark-selection-v0.1; model-ranking-v0.1
Task / deliverable / acceptance criteria:
Risk class and explicit sufficiency threshold:
Hard gates / tools / privacy / region / budget:
Clarity components (0–1): objective, context, constraints, acceptance, output, environment
Capability profile:
## Five measurements
| Benchmark + version | Observation ID / source / date | Weight | Relevance and validity | Gaps / redundancy |
| --- | --- | --- | --- | --- |
| 1 | | | | |
| 2 | | | | |
| 3 | | | | |
| 4 | | | | |
| 5 | | | | |
Weights sum to one. No composite index substituted for a measurement.
## Candidates and decision
| Profile + deployment + harness + effort | Eligibility | Fitness proxy | Calibrated success / evidence | Expected cost |
| --- | --- | --- | --- | --- |
Frontier:
Topnotch:
Efficient:
Sufficient: no_evidenced_sufficient_model until supported
Budget: undetermined until supported
Price observation IDs and dates; input/cache/output/reasoning/tool/retry/verifier assumptions:
Cost and runtime p50/p90 (or explicitly labeled scenario ranges):
Confidence by component and what would change the decision:
Evidence gaps:
Optional decomposition vs monolithic baseline:
Outcome: actual configuration, acceptance result, cost, tokens, runtime, retries, failure mode: