Srednoff AI Agent Evals & Regression Gate

AI Agent Evals & Regression Gate

Plan agent evaluations with held-out cases, explicit grading criteria and honest regression coverage.

Who This Is For

Agent quality engineers

What You Get

• A standalone, domain-specific agent workflow with decision rules and stop conditions.
• Evidence requirements, structured report guidance and missing-data handling.
• Synthetic worked examples and supporting reference material.
• Optional offline evidence-precheck source where the licensed delivery allows execution; not an automatic artifact scanner.

Expected Deliverables

• Executive Summary
• Scope
• Evidence Reviewed
• Findings
• Prioritized Action Plan
• Quick Wins
• High-Risk Items
• Missing Evidence
• Unknowns
• Next Validation Steps

How The Workflow Proceeds

1. Pin the evaluated skill, tool schemas, runtime, model, and permissions.
2. Separate positive/negative routing cases from executable task scenarios.
3. Add partial evidence, malicious inputs, tool failure, and interrupted-run cases.
4. Reserve held-out cases whose expected answers are not exposed to the executor.

The remaining workflow covers validation, failure recovery and an evidence-linked handoff.

Bring These Inputs

• Pinned workflow revision
• Case corpus
• Rubric and expected artifacts
• Runtime/model identity

Scope And Compatibility

This is a workflow toolkit used by your connected AI agent, not a hosted service, installed API client, autonomous executor or security/compliance certification. You supply the model, authorized tools and project evidence. It does not provide access to advertising, analytics, billing or production accounts. No business outcome or token saving is guaranteed.

Agensi delivery is agent-only. Do not save or export the proprietary source. If local helper execution is unavailable, the agent follows the review workflow and marks the helper NOT_EXECUTED; no local-script execution is promised for this channel.

Validation Transparency

Packaged offline supplied-evidence checks: PASS. Retained synthetic text-response cases: 10/10; scope PASS_SCOPED. These tests are not real-client task trials or marketplace-runtime certification.

Commercial Use And Support

Use project-specific outputs in personal, business and client work under the included Commercial License 1.0. Historical MIT and third-party rights remain unchanged; mandatory marketplace terms prevail. No proprietary source redistribution is included. Publisher: Ivan Srednoff / Srednoff.Agency.

FAQ

Will it make changes automatically? No. Analysis does not authorize spending, publication, deployment or account mutations.

Are examples client results? No. Examples are explicitly synthetic DEMO DATA.

Does it require Srednoff OS? No. The workflow is standalone; external tools and subscriptions are not included.

Is the launch price a proven optimum? No. It is a scoped introductory price informed by comparable offers, not sales forecasts or fake discounts.