S1E4: He runs PR for deep tech startups
Sam Polstein on why he thinks about context engineering more than prompt engineering, and why every media database he has tried is three weeks out of date.
Deep-tech comms and PR: pitching, drafting, and the point where AI-written outreach stops working.
The full conversations from this industry.
Sam Polstein builds competitor dashboards and answer engine analytics with no coding experience, replacing reporting that once cost $20,000 a year.
Sam Polstein puts AI output quality at 90% decided before the prompt. What is in his context library, why it is markdown, and why he owns the files.
A deep tech comms lead on why AI cannot build a media list: the signals are unpublished, recent coverage disqualifies, and a three-week lag is useless.
Not from scratch, says Sam Polstein: models have no emotion and a recognisable tone. Three mitigations he uses, and the fifty percent draft to never send.
PeakMetrics, Truescope, NewsCatcher and NewsWhip monitor news in real time for comms teams. What each covers, and how to test relevance before buying.
Propel PRM, Intelligent Relations, Shadow and Pressmaster.ai for media list building, what each does, and the six tests to run before you buy.
Claude, Obsidian, Claude Cowork, Claude Code and Google Drive. Thirteen products named on the record by Sam Polstein, and only two are PR software.
Social listening platforms charged agencies around $20,000 a year. Sam Polstein now builds client dashboards himself with virtually no coding experience.
Monitoring platforms know the news, not your clients. The comms product request Sam Polstein described, the nine requirements, and the gap for builders.
Sam Polstein wants a tool that answers a plain question about a named reporter and disagrees with him. A three-week data lag is why nothing qualifies.
Media list building resists AI because the task is predicting an unwritten story from private signals. Sam Polstein's freshness threshold: three weeks.
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