
Conversational AI platform vendor or full-service implementation firm
Buy a platform when your process looks like your industry's. Hire a firm when the part that matters exists nowhere else. Price both across three years.
Articles on building AI-powered products, B2B process automation, and how technology scales businesses.

Buy a platform when your process looks like your industry's. Hire a firm when the part that matters exists nowhere else. Price both across three years.

The AI vendor market has largely emerged over the past twelve months, so you’re choosing from companies with no track record. Rankings and portfolios don’t make up for that. Here are seven questions that do—along with what the answer sounds like when a vendor is hiding something.

One question repeated monthly answers it. Four measurements from our own site and an audit of what actually decides whether a model cites you.

Verification on Google's side took 2 to 4 times longer in our projects than on Meta's. That is why integrations are built before any other feature.

Roughly one call in four ends with us telling somebody not to build. Not out of politeness, but because below a certain volume and above a certain amount of mess, nothing pays for itself. Here is how to run that check yourself in half an hour, before anybody sends you an invoice.

Everybody talks about hallucinations because they are visible and easy to demo. The three things that actually kill agent deployments never make it into a slide, because none of them shows up in a demo. Here they are, with the cost of each and a way to check whether they apply to you.

Published guides put AI implementation cost anywhere between $5,000 and $3 million. That is not a range, it is an admission that nobody asked what you are building. Here is what actually moves the number, which costs surface only in month three, and how to place yourself in a band before you call anyone.

Most Lovable reviews stop at the demo. This one starts where they end: at the sixth week, with real users on the system. What actually breaks, why the failures are silent, and where the line runs between a prototype worth keeping and a system that needs somebody responsible for it.

The guides outline the end goal: time savings, fewer errors, and 24/7 support. They don’t show you how to get there. We break down the first year of AI implementation in a company with 10–200 employees quarter by quarter, including the third month, when things usually get tough.