Personal tech hub - exploring LLM testing, red teaming, automation, and everything where AI meets quality.
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Key practices for building, testing, and deploying AI responsibly.
Trying to break LLMs before they break production. Prompt injection, jailbreaks, adversarial testing.
Building eval pipelines for RAG systems and AI agents. Measuring what actually matters.
Playwright, CI/CD pipelines, and making machines test other machines.
Retrieval-augmented generation, embeddings, and building knowledge-grounded AI systems.
Tracing, logging, and monitoring LLM apps in production. Catching drift, hallucinations, and cost spikes early.
Daily drivers for testing, automation, and AI quality workflows.
Hands-on testing tools & experiments for builders.
Chat with an AI expert on QA, testing, and AI safety. Powered by multi-model orchestration.
Paste context + response. Get atomic fact-level breakdown and hallucination score 0–100%.
Scan for hidden Unicode, homoglyphs, control characters and injection patterns in prompts.
Configure industry, target, attack type, severity — get production-grade adversarial payloads.
Try prompt injection, jailbreaks, and adversarial attacks. See if you can outsmart the bot — then learn the mitigations.