Three Steps to Production-Ready AI Agents
From connection to readiness report in under 30 minutes. No code changes required.
Connect Your Agent
Upload your agent's skill files or connect via API endpoint. Takes 30 seconds. We support Claude Code agents with skill files and CLAUDE.md configurations, Custom GPTs with system prompts, and any agent with an HTTP API endpoint.
For skill-file agents, drag and drop your .md, .txt, .json, or .yaml files. We analyze them instantly to extract capabilities, persona rules, tool definitions, and workflow steps. No API endpoint needed.
For API agents, enter your endpoint URL, select the request format (OpenAI, Anthropic, or custom), and configure authentication. We send a test message and auto-detect the response structure.
endpoint: /api/chat
skills: [support, billing, returns]
guardrails: [no-refund-over-500, escalate-legal]
tools: [crm-lookup, order-history, ticket-create]
We Run the Evaluation
Discovery maps what your agent can and can't do — extracting capabilities, limitations, guardrails, and tool access in about 30 seconds. Then we simulate realistic conversations from our library of 2663+ scenarios across 17 industries.
Every response is scored on four dimensions: conversation quality (40% weight), tool usage accuracy (20%), output quality (20%), and diagnostic accuracy (20%). The scoring is objective — grounded in specific success criteria and failure indicators per scenario.
A 30-scenario Standard Evaluation takes 15-20 minutes. A 100-scenario Deep Evaluation takes about 45 minutes. Results are available immediately.
Get Your Readiness Report
Your readiness report includes an overall score (0-100), per-scenario breakdowns showing exactly which turns failed and why, and a detailed failure analysis with root cause identification for every issue found.
For Deep Evaluations, you also get generated training assets: updated skill files with corrected guardrails, routing rules that prevent the failures we found, I/O schemas, and example conversation pairs. Download as PDF or export as ZIP.
Plug the training assets directly into your agent's configuration. Re-evaluate at 90 days (included with Deep Eval) to verify the fixes worked and catch any regressions.