Evidence-driven investigation engine

Don't trust the answer.
Challenge the investigation.

Atlas investigates Elasticsearch incidents the way an experienced support engineer does — gathering evidence, ruling out alternatives, and grounding every conclusion in public sources. The goal below isn't to prove it right. It's to prove it wrong.

Pick a real investigation
No account required

Can you break the investigation?

Each case below is a real, public Elasticsearch incident. The outputs are precomputed snapshots — opening them costs nothing and never calls the model.

Precomputed: these are stored engine outputs, so anonymous traffic can't create model cost or abuse. The live engine (your own case) is behind Google sign-in.
Clear positioning

What Atlas is not

Not an answer generator

A plausible answer is not enough. Atlas shows the evidence, the reasoning path, and the limits behind every conclusion.

Not a generic chatbot

It is built around structured technical investigation — evidence collection and hypothesis validation, not free-form chat.

Not a replacement for engineers

It helps you investigate faster while keeping judgement, accountability, and the final decision human.

Atlas Challenger Program

Your mission is to find the flaw

We're inviting experienced Elasticsearch engineers to challenge the investigation process — not just test whether the UI works.

Find an incorrect diagnosis
Challenge unsupported reasoning
Identify a missing document or workaround
Suggest a better investigation path
Flag a conclusion whose confidence is too high