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You asked, we answered.
Clear answers for teams building and testing AI in production.
Ethaika helps teams test, debug, and reproduce issues in AI agents and chatbots.
We capture full runtime context — prompts, parameters, tools, and RAG retrievals — so AI failures can be reproduced, explained, and fixed faster.
Traditional logs show what happened.
Ethaika captures why it happened — including hidden context, model settings, retrieval traces, and execution metadata — making AI behaviour reproducible instead of guesswork.
Yes. Ethaika is built specifically for non-deterministic systems.
Even when outputs vary, our deterministic replay and session capture allow teams to reliably analyze and diagnose failures.
Ethaika is model-agnostic and works with:
LLM-powered chatbots
AI agents and tool-using systems
RAG-based applications
Custom in-house AI services
We integrate at the API and execution layer, not just the UI.
Ethaika is used by:
QA teams validating AI behaviour
Engineers debugging agents and pipelines
Product teams reviewing AI releases
Organizations needing transparency and trust in AI systems
Everyone works from the same reproducible source of truth.
Yes — you can request a demo to walk through the workbench, defect capture, and replay experience using real AI workflows.
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