Answers, not trend decks
Browse AI use cases, AI product ideas, and AI workflows for 7 industries, with receipts: each one was described out loud by a business owner or exec, straight from customer discovery interviews with the operators themselves.
One hub per vertical, each built from long-form interviews with operators who runs the business.
An owner who let AI plan a restaurant build-out, got confidently wrong answers, and paid for it in permits and rework.
On record: Dr. Nikki Siso · Owner, Conscious Kitchen
5 use cases & pain points →
Legacy contractors doing eight figures on sticky notes, with CRM, invoicing and subcontractor comms in separate worlds.
On record: Annija Eizenarma · Founder, investor and legacy-industry adviser, AE Bridges
6 use cases & pain points →
A boutique firm that cut payroll 83% with agents, and hit the wall where voice, CRM and relationship data stop working.
On record: Chrissy McDannell · Owner, The Magnolia Firm
5 use cases & pain points →
Luxury hospitality where AI keeps failing the guest-facing test, and the real money sits in back-of-house coordination.
On record: Sofiane Ghorbel · CEO, AL Hospitality Group
7 use cases & pain points →
Six-figure charters booked over messages, where client memory and personal touch are the product.
On record: Jennifer Kerum · Owner, Anchor Croatia and Luxury Yacht Rentals
5 use cases & pain points →
A deep-tech agency where journalist intelligence and client privacy decide what AI is allowed to touch.
On record: Sam Polstein · Director, HAUS, the deep tech agency
4 use cases & pain points →
A non-technical practitioner running a 15-agent practice, and everything that breaks when agents meet real clients.
On record: Dr. Nikki Siso · Holistic health practitioner, Conscious Kitchen
6 use cases & pain points →Across industries
When operators in unrelated businesses describe the same broken workflow, it stops being an anecdote and starts being a market.
Named by working operators, not analysts:
Start with the opportunities that have a named first customer.
Those are cases where an operator described the problem, said no tool solves it, and identified themselves or their peers as the buyer.
Ingestion of unstructured messages into systems of record, document verification and diffing, and post-call or post-thread admin work.
Those three patterns recur across industries with no relationship to each other.
Nothing here is invented or extrapolated.
Every opportunity traces to a transcript passage with the speaker and episode named.
If no operator described something, we say so instead of guessing.
Restaurants, Construction, M&A Advisory, Hospitality, Yacht Charter, Public Relations, Health and Wellness — every claim tied to a named operator in that vertical.
Yes.
Open any opportunity and the product manager assistant will draft scope, user stories, failure modes, and a full PRD grounded in the transcript passages, labelling anything that is AR analysis rather than sourced.
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.
What that looks like