Field Interview Synthesizer Agent

What Field Interview Synthesizer Agent does

A field interview synthesizer agent is an AI agent specialized in field interview synthesizer. It does not answer from memory alone. It search, open primary sources, and extract cited claims, stores observations, verifies completeness, and delivers sourced research brief with explicit gaps when tools fail.

The agent receives a field interview synthesizer task, plans tool calls (search, browser, web-fetch, memory-store), executes search, open primary sources, and extract cited claims, keeps working notes, verifies the draft, and publishes sourced research brief. If search returned only outdated or off-topic pages, it broaden queries and prioritize primary documentation. This page simulates that observable loop — not private chain-of-thought.

Workflow

Each step maps to a node in the lab above. Scroll up to play and watch the packets travel.

1. 01

   Input

   Receive task

   Accept the field interview synthesizer request and output constraints.

   Data preview

   In

   Run field interview synthesizer for Q3: produce sourced research brief with audit trail.

   Out

   Normalized objective: produce sourced research brief.

2. 02

   Plan

   Plan the run

   Choose tool order for Search, open primary sources, and extract cited claims.