data · tool agent
RFM Scoring Agent
Turn rfm scoring agent requests into verified data analysis memo with queries using observable tool steps.
- data
- sql-warehouse
- notebook
- rfm-scoring
How to watch
Play starts at Input. Each station works, then a labeled packet travels the wire.
On station · 5.2s · 0/0
Packets stay on the wire. This is a conceptual simulation, not a live model run.
What RFM Scoring Agent does
A rfm scoring agent is an AI agent specialized in rfm scoring agent. It does not answer from memory alone. It run queries and explain results with the sql shown, stores observations, verifies completeness, and delivers data analysis memo with queries with explicit gaps when tools fail.
The agent receives a rfm scoring agent task, plans tool calls (sql-warehouse, notebook, chart-builder, verifier), executes run queries and explain results with the sql shown, keeps working notes, verifies the draft, and publishes data analysis memo with queries. If query returned empty results for the selected window, it validate filters and join keys against the schema catalog. This page simulates that observable loop — not private chain-of-thought.
Workflow
Each step maps to a node in the lab above. and watch the packets travel.
- 01Input
Receive task
Accept the rfm scoring agent request and output constraints.
Data preview
In
Run rfm scoring agent for Q3: produce data analysis memo with queries with audit trail.
Out
Normalized objective: produce data analysis memo with queries.
- 02Plan
Plan the run
Choose tool order for Run queries and explain results with the SQL shown.