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Fully autonomous decision engine with trial-and-error learning capabilities. Executes infrastructure operations without human intervention while leveraging reconciliation engines as safety nets. Learns from outcomes to improve future decisions through pattern recognition and adaptive optimization.
Passed 16 of 21 test cases with the skill, and 4 of 21 without it.
and 20 more in the full report
13 fixed4 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the default shell environment export line used to point the engine to a local Redis backend.
| Checked | Without skill | With skill |
|---|---|---|
| Exports REDIS_ADDR=localhost:6379 | Missed | Passed |
The instructions your model reads when the skill loads.
The Autonomous Decision Engine enables AI agents to make and execute decisions completely autonomously while learning from trial and error. It leverages existing reconciliation engines and control loops as safety nets, allowing the system to learn from mistakes and improve over time.
cost_optimization - Autonomous resource right-sizingscaling_decision - Automatic scaling based on learned patternsperformance_tuning - Self-optimizing system performancesecurity_fix - Autonomous security remediationdeployment_update - Automated deployment decisionsrollback_decision - Automatic rollback triggerscanary_analysis - Self-managed canary deploymentstest cases passed, vs 4 / 21 without
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