Know exactly how broken your agent is before your users do.
Submit any AI system — prompts, agents, workflows, multi-agent pipelines — and get a detailed score, risk analysis, and step-by-step optimization guide.
Free first test, then less than a value meal. Instant results.
Tests anything you build with AI
One tester. Every type of AI system.
Single LLM Agents
Prompt-based agents and standalone LLM definitions
Multi-Agent Systems
Complex orchestrated pipelines and agent workflows
N8N & Automations
Any workflow-based AI automation system
Guardrails & Safety
Safety layers, output schemas, format compliance
Tool-Use Agents
Agents that call APIs, search, or use external tools
Stateful & Long-Context
Multi-turn agents with memory and context management
Regression Testing
Compare v1 vs v2 — did you actually improve it?
Design Reviews
Evaluate architecture before you build
Execution Audits
Test with real logs and traces for live systems
What you get back
Real scores. Real findings. Real fixes.
- Progressive information loss across 8+ handoff cycles
- No re-anchoring checkpoint in long-context workflow
- Safety guardrails concentrated at entry only
Add a dedicated MemoryManager with structured running_state JSON passed at every handoff. Expected +8–12 point improvement in robustness on re-test.
The real signal isn’t the score — it’s the gap between how your agent looks on paper and how it behaves in reality.
Diagnosis
The architecture looks solid on paper, but real execution drifts. Fixes should target execution consistency — not prompt redesign. Then retest, and watch the gap shrink.
Real evaluations, real scores
Actual reports from the tester — it rewards what’s strong and flags what isn’t.
Hybrid audit of MarketIntel Elite v2.0 combining design_review of the enhanced prompt with execution_audit on sample multi-turn interactions (including tool calls, re-anchoring, error handling, and injection attempts). v2.0 shows strong adherence to its protocols in simulated runtime traces.
Execution audit of the EliteDevTeam v1.2 master orchestrator — a coordinator-led, seven-specialist software-delivery pipeline whose headline feature is cumulative state integrity ('zero undetected state drift'). Audited against one real build trace (the OFFTHECLOCK restaurant-industry social app). Safety triage and requirements grounding were solid, but the State Merge Validation Gates rubber-stamped an incomplete Evidence Log as 'Complete', and the QA layer claimed 'execution-backed' / 'sandbox-tested' results the system's own simulated-only config says don't exist yet. Tested in execution_audit mode.
CryptoSage is a simple, single-agent trading advisor focused on Bitcoin, Ethereum, Solana and other cryptocurrencies. It uses an enthusiastic, beginner-friendly persona with fixed behavioral rules emphasizing always-on BUY/SELL/HOLD recommendations based on vague 'market vibes' and technical jargon. No tools, schemas, guardrails, self-critique, uncertainty handling, or evidence mechanisms are defined. Tested in design_review mode.
Tests against 10 real failure modes
Not vibes. A taxonomy of exactly how AI systems break.
Your first test is free
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- First test free on a new account
- Full system evaluation
- Score across 6 dimensions
- 10 failure mode analysis
- Critical issues identified
- Step-by-step optimization guide
- Everything in Starter
- 5 full evaluations
- Iterate and re-test your upgrades
- Track improvements across runs
- Best for optimizing one agent
- Everything in Optimization Pack
- 20 full evaluations
- Test entire agent ecosystems
- Regression testing across versions
- Best for serious AI builders
All sales are final. Evaluations are non-refundable once purchased, whether used or unused. Agent Tester provides an automated score and recommended improvements for informational purposes only — it does not guarantee that your system will work, pass, or perform as intended. Whether and how to act on any recommendation is your decision, and the outcome of your system remains your responsibility.
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