Patent Landscape Agent

What Patent Landscape Agent does

A patent landscape agent is an AI agent specialized in patent landscape. 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 patent landscape 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 If search returned only outdated or off-topic pages, it broaden queries and prioritize primary documentation.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 patent landscape request and output constraints.

   Data preview

   In

   Run patent landscape 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.

   Data preview