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I like to build, it’s why I’m a founder. So I spend way more time in our code than LinkedIn posts. Which is why our team’s been on me to start open-sourcing more of our projects and thinking. So, here we go: I just published a quickstart repo with some building blocks derived from “Olli.” I made it so you can take it, and start to create for your team internally. (The internal build’s a more and more common path, and we want to make it shorter for revops and builders.) https://lnkd.in/gzru5hc7 Then, if you wanna get deeper on the arch behind Olli and some of our engineering decisions, I wrote up a guide on the 5 systems that compound, underneath what most people see as “an AI sales agent” (The LLM integration is MAYBE 5% of the actual system) 1/ Time-series data layer: pipeline state has to be “rewindable,” not just queryable, because event trajectory and velocity > current values when reasoning about deal health over time 2/ Tacit knowledge capture: three channels (in-the-loop corrections, background thread analysis, edit diffs) each catching signals the others miss, training continuously 3/ Dual-layer scoring: LLMs extract signals from unstructured data, a separate ML model handles the actual math (to get the statistics vs. an LLMs “opinions”) 4/ Proactive briefing layer: the hard part isn’t generating the brief, it’s knowing when something is worth interrupting someone’s day over and when it isn’t 5/ Cross-deal pattern recognition: win/loss signals, stall predictors, etc... across the entire book All 5 layers feed each other with an async pipeline, and cascading invalidation across the deal-account-pipeline hierarchy. (A single CRM field update can trigger hundreds of recomputations + every closed deal’s history retrains the model so it compounds.) So you can get ahead on where some of engineering challenges will be before you’re in it: https://lnkd.in/gUPzXi_t My only asks: - Go build something. - Tell us how it’s going.

Skip the slide decks and start SKO with practical, hands-on frameworks that win exec-level meetings. Your reps will leave with ready-to-ship business cases and messaging for real deals, to hit the ground running.

Nate Nasralla is hosting a night for Denver’s go-to-market crowd, focused on sharp thinking, not small talk. You’ll get your very own limited-edition “dark mode” copy of his new book, Brief & Brilliant. Join us for Nate’s insights on how to simplify complex deals, drinks & light appetizers, and networking with the Denver sales community. October 22, 4 - 6pm, LoHi, Denver See you there? RSVP ↓

Your pipeline’s full of deals that *should* close, but probably won’t. They’re not lost just yet, but it’ll take some serious creativity to save them: That’s why sales teams hire Olli, the AI agent from Fluint. He was specifically designed to keep complex sales moving, and trained on 121,000+ mid-market and enterprise deals (and counting). Which means he writes the type of executive-ready messaging, and calls the types of sales plays, you can’t get from ChatGPT, Gemini, or any other model. All to make sure your hard-earned pipeline stops dying out in the mid-funnel.

Your reps don't need another tool that waits for instructions. They need someone to track them down and show them their next move: Olli flags top deal risks before they’re obvious, then gets to work. Drafting the business case before the champion asks, and showing reps exactly how to share it. No more prompts to copy and paste. Just *proactive* deal execution that keeps opportunities alive. (Trusted by 500+ enterprise sales teams who don't babysit ChatGPT or Gemini anymore.)

"If a rep doesn't want to use Fluint, they're probably not the right rep." Rehan didn't make his team use Olli, he gave them two weeks to try working with him. Then they didn’t want to stop. Rehan is the Chief Growth Officer at Verifiable. His team hired Olli, the AI agent for complex sales built by Fluint, and saw the reps who used him first, started winning bigger deals (including their largest rip n’ replace in history). Here's his take on how the next generation of enterprise teams are selling now: