A deep-tech agency where journalist intelligence and client privacy decide what AI is allowed to touch.
Every use case below was described by an operator in this vertical — straight from customer discovery interviews with the operators themselves.
A memory layer that keeps every detail an operator learns about a person — trips taken, wines poured, people met, which journalist covers what — and resurfaces it automatically, instead of living in spreadsheets, manual exports, hand-built media lists and someone's head.
"“I really want to integrate AI into creating really informative like client profiles for everybody.”"
"the future belongs to systems that allow personalization, privacy and client ownership data."
"I want to put everybody on a spreadsheet and track them because I want to put a lot of effort into like keeping those friendships, like going through that list and being like, I should like invite them to brunch or these events."
"if I had a tool that was really powerful with really recent information and could also connect that to the context of my clients and flag the most relevant pieces for me, even if it's not in the newsletters that I read or the outlets that are my go-tos, that would be very helpful."
"Can just see whether or not where you're off track and check in when I can see that... if they check a score of like feeling really tired today, I know okay, they're going through their detox symptoms have started and I can check in on them... all of that can be automated that I get the prompt when they need me."
Named by 5 operators
A layer that checks AI output against authoritative sources and enterprise privacy rules before anyone acts on it — after operators in PR, hospitality, M&A and restaurants each described confident, wrong AI answers costing them money, credibility or a client relationship.
"we sign NDAs with our clients and we've got information that we don't want to be used to train models and don't want to be in the public domain because it's incredibly important."
"AI was missing the step-by-step guidance that I really needed."
"in luxury hospitality we don't sell rooms. We don't sell cruisers, we don't sell flights, we sell trust."
"It's happened more than once. five million valuation on 125,000 net profit. I reached out"
Named by 4 operators
A PR-specific AI copilot that builds and critiques media lists using current journalist activity, outlet/beat changes, adjacent coverage, peer-company signals, and an agency's internal judgment. It should argue for or against targeting a journalist rather than merely matching keywords to past articles.
"I find, at least in all the workflows that I've tried, that finding the so building a media list, right? If we take a step back, building a media list in comms is incredibly important."
A daily PR intelligence tool that monitors fresh news beyond a practitioner's usual newsletters and outlets, maps developments to each client's context, and flags the highest-value reactive communications opportunities.
"I think more more up to date information in the models, right?"
Operators on Artificial Reality named 4 AI use cases in Public Relations:
The pain points operators described are:
Named on the record in this interview:
Sam Polstein, Director, in conversation with host Galina on Artificial Reality.
Every claim links to the quote it came from.
Media + GTM partnership
I'm Galina Fendikevich. I host the Artificial Reality podcast and work with a small number of teams on distribution, positioning, and warm introductions to the operators I interview. Tell me which opportunity you're solving.
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