Build an AI Competitor Intelligence Monitor

Build and test a narrow competitor monitor that preserves dated evidence, detects meaningful changes, and produces a recurring decision report without automating outreach.

Choose the Decision and Monitoring Boundary

Write a monitoring charter with a named reader, decision, competitor set, cadence, exclusions, and owner.

Choose the Decision and Monitoring Boundary (14 min)

Build the Source and Evidence Register

Create a source register that states exactly what each lane can and cannot support.

Build the Source and Evidence Register (14 min)

Capture a Normalized Baseline

Produce a baseline snapshot with stable IDs, normalized fields, retrieval times, and retained source records.

Capture a Normalized Baseline (14 min)

Define Meaningful Change Rules

Write deterministic rules for meaningful changes, ignored noise, duplicates, removals, and parser failures.

Define Meaningful Change Rules (14 min)

Turn Changes into Qualified Intelligence

Create an evidence-to-decision schema and triage observed changes consistently.

Turn Changes into Qualified Intelligence (14 min)

Design the Recurring Decision Report

Build a reusable report with evidence, implications, review actions, errors, and a next-watch section.

Design the Recurring Decision Report (14 min)

Test, Run, and Maintain the Monitor

Run the capstone fixtures, record results, and finish the operating and maintenance instructions.

Test, Run, and Maintain the Monitor (14 min)