The Lumina Sales blog
Updates, ideas, and practical notes from Lumina Sales on building and selling AI software.
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Pay-per-booking sounds like an easy yes for a skeptical owner, but it can turn your margin into a coin flip. Here is the math against a flat fee, and the hybrid that protects both sides.
Appliance repair is a phone-first trade where the first call decides the job and a missing model number costs a second trip. Here is how to demo, price and sell an AI front desk to these shops, and where it does nothing for them.
Run the audit on the prospect's own domain, pick one finding they can verify in thirty seconds, and open with that. Here is how the website audit node works, how to use it, and where it stops helping.
Not necessarily. Regal's October 2026 benchmark shows newer models losing on live calls because they dropped fast settings. Here is what that means for the model behind a client's phone line, and why Block's Dessa is still only a demo.
The catch is the limits: one published demo, 100 voice minutes, a five-minute call cap, and client builds priced separately at wholesale. Here is every limit, what happens at the cap, and who should skip it.
A 10% discount on a marked-up AI build can cost you close to a fifth of your first-year margin. Here is the math, six things to trade instead, and when to let the prospect walk.
A voice API is cheaper per minute than a white-label platform and costs more of your time. Here are the real numbers from Vapi and Retell, and when each route wins.
OpenAI's Decisions API went generally available on October 22, and GPT-Live can now call it while a caller is mid-sentence. Here is what shipped this month, what it costs, and the four places it does not help you.
Property managers plan to add doors without adding staff. Here is how to sell them an AI system that triages after-hours maintenance, answers leasing calls and handles rent questions, what to charge per door, and the four reasons this trade is harder to close than the trades.
Pool service owners miss calls while they work the route. Here is how to pitch an AI receptionist to them, what to charge, and when to walk away.
Write down what is in scope, name one approver, and answer every out-of-scope request with a price and a date. Here is how to apply that to an AI buildout without losing margin or the client.
Towing owners lose the cash call at 2 a.m., not the club job that arrives pre-assigned. Here is how to demo it, price it against tickets, and say what the AI can't do.
