Not all models think alike. Let’s test how they talk.

TestAI’s Playground lets you test the same agent flow across multiple LLMs — so you can choose the one that fits your goals, tone, and users best.

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Whatever your business needs

TestAI’s automated engine powers more than just basic bug detection. It’s the foundation for these advanced testing use cases

Automated & continuous testing
Stress-test your AI agents — before your customers do.
Test Ideas
Auto-generate diverse user personas and edge-case prompts to simulate real-world interactions, from the calm to the chaotic.
Build Smooth AI Flows
Validate multi-turn logic, detect dead ends, and auto-generate improvement suggestions for flow structure, fallback handling, and re-engagement.
Debugging
Dive deep into test logs, flag model-specific errors, and isolate faulty nodes or prompts — all with traceability down to the token.
Smart Internal Bots
Keep internal agents secure, compliant, and on-brand—while catching gaps and hallucinations early.
LLMs Playground
Benchmark agents across GPT-4, Claude, Llama and others. A/B test tone, accuracy, and speed — all backed by automated test metrics.
A/B Agent Evaluation
Compare flows or model versions across tone, accuracy, latency, and UX.
Multilingual QA
Stress-test agents across languages, local dialects, and cultural tone variants.
Competitive Agent Benchmarking
Secret-shop competitor bots. Compare answers, flow depth, and bug presence.

What Our Customers Say

With a 4.6-out-of-5-star rating and a bunch of distinctions on G2, TestAI users have declared it an industry standard in the AI Agent world.

“TestAI caught a prompt leak hours before launch. Saved our brand — and our weekend.”

Amira D., Lead QA at HealthTech AI

“TestAI caught a prompt leak hours before launch. Saved our brand — and our weekend.”

Amira D., Lead QA at HealthTech AI

Test the same prompt, flow, or bot across models. Watch what breaks. Compare what lands.

TestAI is your pre-launch safety net. Validate every interaction, every time.
Side-by-Side Agent Runs
Run identical flows or user prompts through OpenAI GPT-4, Claude (Anthropic), Meta Llama, Mistral, Groq, or local models. See where they diverge in logic, tone, or accuracy.
Model-Specific Bug Detection
Test with realistic employee types: New hires with basic questions, Angry employees seeking escalation, Confused managers trying to access confidential info.
Persona Stress Testing
Simulate the same user (e.g., angry, confused) across models. Observe tone shifts and robustness differences.
Metrics Dashboard
Compare Avg response time, Sentiment/tone score, Resolution accuracy, Language fidelity (for multilingual testing)
Choose by Fit, Not Hype
Use model comparisons to decide Which LLM fits your use case, Which one best matches your brand voice, Which performs best in your specific flows.
CNTXT prioritizes enterprise-level security, providing transparent access to the latest AI models while ensuring that user data remains private.
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QA Manager at a fintech
CX Leader at a marketplace
Engineer at a chatbot startup
10+ hrs
Saved weekly per QA Engineer
54 min
QA Cycles
95%
Test coverage guaranteed in one month
5k$
Saved per QA Engineer
or tester
95%
Reliable.
4.3X
ewer bugs hit production
20 hours
Saved every month in QA
$50K+
saved from broken experiments
Zero
Delays
2.8X
more experiments run
>20 min
Release
cycles
6x
Fewer Product Bugs
$50,000
per year saved in patching and triage
20 + Hours Saved
monthly per QA engineer
95%
Test Coverage

Pick your AI model like a scientist, not a fan.

Different models behave differently. Compare them under pressure — not in isolation.

Try TestAI for free →

Ship reliable AI voice agents with confidence

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