Action Items
Parse out next steps and pending tasks
Extract Key Information. Turn unstructured conversations into structured data. Pull out decisions made, errors encountered, entities mentioned—all in clean, parseable format.
Capabilities
beacon_extract turns messy conversation logs into structured data. From 50 messages of back-and-forth, it extracts the key decisions, critical errors, mentioned entities, and action items—ready to store in a database or pass to another system.
Our cheapest tool. Extract from 100 conversations for $1.
Decision Extraction
Pull out decisions with their reasoning and context
Error Tracking
Identify errors encountered with stack traces and fixes
Entity Recognition
Extract people, tools, services, and technologies mentioned
Action Items
Parse out next steps and pending tasks
Extraction Example
// From 50 messages of conversation...
DECISION #1
Use PostgreSQL instead of MongoDB
Reason: Need ACID transactions for payments
DECISION #2
Deploy to AWS us-east-1
Reason: Closest to majority of users
DECISION #3
Use Stripe for payments
Reason: Best international support
Use Cases
Extract structured data from customer support or development conversations.
Automatically document decisions and their reasoning from chat logs.
Feed extracted data into analytics systems for trend analysis.