LadybugWorth: an AI reporting agent for team communication.

An AI agent that watches Slack and team channels, extracts decisions, creates end of day reports and flags bug risk signals before production.

LadybugWorth AI reporting agent

The brief

Most teams lose decisions inside daily communication. The agent needed to monitor conversations, identify what mattered, summarise work, produce end of day reporting and surface issues without adding manual reporting overhead.

The technical challenge was signal extraction: deciding what was a blocker, a decision, a handoff, a bug risk clue, or just ordinary Slack noise.

Conversation intelligence

Slack threads were classified into decisions, blockers, follow ups, handoffs, status changes and noise so summaries stayed useful.

End of day operating record

Daily summaries turned scattered team activity into structured project memory for managers, founders and technical leads.

Bug risk detection

The LLM layer watched for unresolved defects, risky language, unclear ownership and release blockers before they became production problems.

Django Channels, OpenAI SDK, Slack API, Redis.