Stacks/Sales
Temporal's Kepler prospecting agent
Kepler is Temporal's in-house prospecting agent: a Claude model picks buying signals from Common Room, Reo.dev, and Exa, a rulebook chooses each email's approach, a model writes the draft from an approved-facts list, and code checks screen it before a rep sends. Day-long scans run as durable Temporal Workflows that survive worker crashes. Claude wrote most of the code.
- Use case
- An internal sales agent that watches buying signals, finds and vets the right contact, and drafts outreach sequences for BDRs and reps to edit and send
- Category
- Sales
- Team size
- Built by one GTM operations manager (a former BDR) with help from marketing
- Orchestrator / framework
- A full scan across every rep's accounts takes most of a day and runs as a Temporal Workflow: each step is an Activity, each signal type a Child Workflow run in a set order, the write step heartbeats every 90 seconds, and 35-minute waits are Timers. Queries report progress and Signals stop a scan cleanly. A rulebook decides the email approach before the model writes, and plain-code rule checks screen every draft. The rep always hits send.
- Memory
- not stated
- Evals
- Rule checks in regular code (no AI) block or flag drafts. The author read batches of drafts by hand until the rulebook was in place, and compared drafts against reps' best hand-written emails.
- Observability
- Temporal Queries show where a scan is.
- Cost (stated in writeup)
- Not stated
- Cost per output (stated)
- Not stated in the writeup
- WhatWeRun estimate
WhatWeRun estimate
Not enough info to estimate
The post names only 'a Claude model', with no tokens, drafts per scan, or volume.
Reviewed Nov 13, 2026
- Observability tools
- not stated
- Other tools
- Common RoomReo.devExaSalesforceOutreachApproved-facts list with sourcesPractice mode and a spend cap
- Source
- https://temporal.io/blog/ai-prospecting-agent-temporal-kepler
Jeff Long · Published Nov 9, 2026 · Last verified Nov 13, 2026
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