“ai use cases” — answered here“ai product ideas” — answered here“ai workflows in construction” — answered here“restaurant pain points” — answered here“ai in hospitality” — answered here“what should i build with ai” — answered here“ai in health and wellness” — answered here“m&a ai use cases” — answered here“ai use cases” — answered here“ai product ideas” — answered here“ai workflows in construction” — answered here“restaurant pain points” — answered here“ai in hospitality” — answered here“what should i build with ai” — answered here“ai in health and wellness” — answered here“m&a ai use cases” — answered here
Operators on Artificial Reality named 2 AI use cases in Public Relations:
AI Journalist Intelligence and Media-List Copilot and Client-Aware Real-Time News Intelligence for PR
Each one is transcribed from an interview with a working public relations operator
not invented by an analyst
The pain points operators described are:
Current LLM workflows are poor at identifying which journalists are likely to cover a story next
Teams still manually build media lists because existing outputs are outdated and do not handle the contextual
tangential judgment involved in beat matching. and PR practitioners rely on manual newsletter reading and cannot review all relevant information
General LLM knowledge may be stale
while fast-moving news cycles require immediate identification of client-relevant developments and opportunities.
Named on the record in this interview:
ChatGPT
OpenAI
Claude
Codex
Cowork
Gemini
Perplexity
Obsidian
Sam Polstein, Director, in conversation with host Galina on Artificial Reality.
Every claim links to the quote it came from.
Media + GTM partnership
Building one of these? Let's get it in front of the operator who asked for it and their vertical.
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.