Dylan Di Filippo
Dylan Di FilippoAI journal

Signals and Simulations turn agent failures into tests

DigitalOceanAgent evaluation

Signals and Simulations turn agent failures into tests

DigitalOcean connects observation of real conversations to testing fixes before deployment.

Public preview

Official visual published by DigitalOcean for this announcement
DigitalOcean — visuel officiel · Image source ↗

Verified facts

  • Signals classifies interaction, tool-execution and environmental problems, then lets a session become an evaluation scenario.
  • Simulations runs a simulated user across multiple turns in an isolated environment; tools that write data or incur costs can be mocked.
  • Baseline/candidate comparisons cover goal completion, knowledge retention and tool use; used scenario sets remain locked so results can be revisited.
  • The preview supports harnesses compatible with Harness Runtime, including Claude Code, Codex and OpenCode, but not LangChain, Hermes or CrewAI.

What changes

Agent quality also depends on the sequence of actions, not just the last answer.

Practical implication

Look for recurring failures rather than a demo score.

Availability

Belgium/EEA: the source specifies no explicit regional exclusion; availability depends on the account, plan and service region.

Limits and uncertainty

Scores and efficiency gains are DigitalOcean’s; an LLM judge and simulator do not replace observation of real users.

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A journal by Dylan Di Filippo. Facts, vendor claims and editorial analysis are kept separate. Coverage is not exhaustive.

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