loading...
AI ASSISTANT

Ask your data in plain English

The AI Assistant reads the data sources you pick, writes the query, and answers with tables, charts and links back to the traces.
DashboardsEvalsCost signalsTrace data
AI Assistant
Anosys AI Assistant answering a question about production data
The problem

Every question needs a query

When something changes, someone has to know which table to look in and how to write the query. That person is usually busy.

How Anosys helps

Questions in, evidence out

Ask "which agent got slower this week" or "what did the top ten sessions cost". The assistant scopes the data, runs the query and shows its work.

How it works

Pick the sources, ask the question, check the query it wrote, and save the answer as a widget if you want to keep it.

01

Scope

Choose the data sources, time window, workflow, model, or customer segment relevant to the question.

02

Query

Generate the underlying searches and comparisons without forcing every user to learn the data model.

03

Summarize

Explain incidents, regressions, cost changes, and quality gaps using the evidence found.

04

Share

Turn the answer into a handoff, report, or incident update that other teams can act on.

Key Capabilities

What teams can do

  • Ask natural language questions over production telemetry
  • Scope analysis to token usage, latency, cost, evals, tool usage, and session quality
  • Generate incident summaries and evidence-backed recommendations
  • Help product, engineering, support, and executives investigate the same event
FAQ

Does the assistant replace dashboards?

No. It complements dashboards by helping teams ask follow-up questions and get evidence-backed explanations faster.

Can it use selected data sources only?

Yes. Teams can scope the assistant to specific records and signal types for focused investigations.