Launch ReliableAI Agents Faster
Design, test, and ship AI agent workflows in one platform. Save full response history, prompt library versions, and tool-calling history so teams stop second-guessing what works in production.
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How It Works
Go from prototype to production-grade AI agent releases with a clear, repeatable workflow.
1. Connect Agent Stack
Connect your tools, APIs, and runtime endpoints. Cognito maps capabilities instantly so teams can validate real execution paths.
2. Run Reliability Tests
Execute scenario-based tests for tool calling, context handling, and failure modes to prevent regressions before release.
3. Ship With Confidence
Track run history, compare quality scores, and share reports with product and engineering teams to accelerate go-live decisions.
The Workflow Upgrade
Move from agent guesswork to measurable delivery confidence.
Debugging agent failures with scattered logs and guesswork.
Real-time visual trace of every prompt, response, and tool-call interaction.
Prompt edits are tribal knowledge and hard to reproduce.
Prompt library versioning captures what works and why.
Teams cannot tie agent QA to business results before launch.
Release workflows map reliability signals to customer and revenue outcomes.
Prove Agent Reliability Before Launch
Every run is stored with request/response payloads, latency, quality checks, and execution traces. Give engineering, product, and support one shared source of truth with response history, prompt library context, and tool-call evidence.
- Automated validation checks for tool and schema quality
- Historical performance tracking and latency logs
- Prompt library snapshots with reusable best-performing versions
- Deep-dive session recordings of AI agent interactions
- Full tool-calling history with replay-ready traces
- Exportable reports for team collaboration
"jsonrpc": "2.0",
"promptVersion": "sales_qualifier_v4",
"toolCalls": ["search_web", "get_customer"],
"result": {
"content": [ {"type": "text", "text": "..."} ]
}
}
Built Different
Postman and generic API tools test endpoints. Teams pay for outcomes. Cognito helps you prove reliability, preserve winning prompts, and ship repeatable agent workflows.
| Features | MCP CognitoAI Agent Reliability Platform | Postman / GenericManual Setup | Claude / CursorTrial & Error |
|---|---|---|---|
Agent Workflow NativeBuilt for multi-step agent behavior: tools, memory, context windows, and handoff patterns. | |||
LLM Loop SimulationSimulate how real LLMs (Claude, GPT) will interact with your tool outputs. | |||
Schema Auto-ValidationInstant validation of tool schemas and return types against expected execution quality. | |||
Managed Mock EnvironmentPersistent test environments for your AI agent stack without local setup overhead. | |||
Response + Tool-Call HistoryPersist every run with prompt, response, and tool-call sequence so teams can audit, replay, and improve confidently. | |||
Prompt Library With VersioningSave winning prompts as reusable templates and compare versions against business outcomes. | |||
Team Workflow AutomationCreate repeatable release workflows from QA to production instead of one-off debugging sessions. | |||
Business Outcome TrackingTie agent quality to key metrics teams pay for: resolution speed, deflection rate, and conversion impact. | |||
Deep Inspect DebuggerVisual traces of every Tool call and Resource fetch in real-time. |
Ready to Build BetterAI Agents?
Start shipping reliable AI agent experiences today. Join teams reducing release risk with test-first agent delivery.
No credit card required. Email onboarding included.