How I built an AI prospecting agent on Temporal to take the admin off BDRs

Kepler is an AI prospecting agent developed at Temporal to reduce the manual administrative work involved in outbound sales by detecting buying signals, identifying and qualifying relevant contacts, checking eligibility across systems, and preparing personalized Outreach email sequences and call briefs for representative review. Built by former BDR Jeff Long, it combines models for signal selection and writing with a rulebook that determines messaging based on recipient role, product familiarity, sender type, and approved facts, while deterministic code checks screen drafts for undesirable language, unsupported claims, or overly intrusive references to observed activity. Kepler runs long account scans as Temporal Workflows, using Activities, Child Workflows, durable Timers, Queries, and Signals to coordinate data sources and sales tools while allowing work to resume after crashes without duplicating prospect enrollments. Its write operations use pre-write checks, records, and readbacks to manage Temporal’s at-least-once execution model safely, holding ambiguous cases for human review. The system is live for BDR and commercial teams, with its primary purpose framed as giving reps more time to sell rather than claiming immediate meeting-growth results, and future plans include Slack-based account prospecting and broader use by go-to-market teams.

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