AI Has No Scoreboard. Weaver Just Built One.

We met at Siebel Systems twenty-five years ago, when it was the hottest enterprise software company on the planet. Every big company in America was writing seven-figure checks for CRM. And from where we sat — Peter in go-to-market, Doug running technical account management for strategic customers — we watched something that never left us: customers spending millions on software that never got switched on.

Nobody set out to waste the money. The technology was real. The intent was real. But somewhere between the contract and the outcome, the thing that mattered — did this actually change how the business runs? — kept getting lost. The industry even had a word for it: shelfware. We hated that word. Still do.

So when we moved to Salesforce, the lesson came with us. There, customer success wasn't a department or a slide. It was survival. If the customer didn't get value, they didn't renew, and if they didn't renew, there was no company. That discipline — prove the value or lose the right to keep going — got into our bones. It was non-negotiable then. It's non-negotiable now.

For twenty-five years we've kept ending up in the same rooms. Salesforce. Decision Engines. You.com. Different technologies, different decades, and one thing that never changed: people, process, technology. Every wave of software rediscovers that success takes all three, usually after spending a fortune on just the third one. We've watched it happen enough times to know it isn't bad luck. It's a pattern.

And now it's happening again — with AI. Bigger checks, faster cycles, same movie. Boards approving budgets at record levels, and most executives unable to answer two basic questions: are we getting a return, and are we falling behind? We saw the gap between what good looks like on a conference stage and what good actually is inside a P&L. Most companies have never seen real production AI up close. They've seen demos.

But here's the part that actually kept us up at night — and the real reason Weaver exists. It wasn't the wasted money. It was the fear. We kept meeting talented people who were quietly afraid of this technology. Afraid it would replace them, afraid to admit they didn't understand it, unsure how to fold it into their actual working day. And the tragedy is that these are the exact people who — with a little help — can use AI to do the best work of their careers. The productivity sitting inside that gap is extraordinary. Watching it go unclaimed because nobody would take the time to teach people felt wrong to us.

So we built Weaver. Production AI for the businesses that power America — while no human is left behind.

We haven't done this alone. We were lucky enough to work alongside two pioneers of this field, Professor Richard Socher and Bryan McCann — and lucky is the right word. They're still on this journey with us; You.com owns part of Weaver, and some of the finest minds in generative AI are a phone call away when we need to be told we're wrong.

As for the two of us — we're a strange pair, and it works. Peter has scaled companies from millions to billions more than once and can't help seeing the market in a spreadsheet. Doug has been shipping production systems since he built one at Discover that cut merchant onboarding from weeks to hours — thirty years before "production AI" was a phrase — and he is genuinely, wonderfully incapable of skipping a step in a process. One of us makes it grow. The other makes it work. After twenty-five years, we've stopped arguing about which matters more. It's both. It was always both.