For Episode 45 (June 5, 2026), Sam spent a day building on top of the sales coaching stack that Attention had just open-sourced. The result is a pipeline dashboard that runs a Monte Carlo forecast from conversation scores and puts it head to head with what the team committed in the CRM. Then Attention's co-founder and CEO, Anis Bennaceur, picked it apart on air. Everything runs on fake data.
Attention's open-source release scores sales conversations one at a time. Sam wanted to take the next step: roll those per-call scores up into a forecast for the whole pipeline. What a CRO wants, he said, is as small a gap as possible between the forecast and the CRM commit. He opened with a warning that it "may be completely off base," since he had little familiarity with Attention's tool.
Sam didn't say on the show which coding tool he used for this one.
Anis liked it more than Sam expected:
And so I'm pretty impressed with what you did here in such short amount of time.
— Anis Bennaceur, Episode 45
He said Attention had never done Monte Carlo forecasting and had "never even thought about it," though he had used something similar to decide go or no-go on automated outbound messages. He also liked that the forecast landed relatively close to the CRM commit, which matches what most companies see, and that deal risk came from the coaching frameworks and the actual conversations.
His critiques were specific. Use real sales terms for the bands: commit, best case, at risk. And the feedback text sounded "very AI-ified." He mentioned that he had also released a humanizer, and that telling it to write like Paul Graham made it read like a real person.
The biggest lesson came from Anis at 06:53: forecasting is only one part of what leaders care about. The other is what to do about it.
For more on how AI is changing sales teams, see AI in Sales. Another scenario-style build of ours is the portfolio macro scenario simulator.
Sam started from Attention's open-source sales coaching stack, which scores each conversation, then used those scores to run a 10,000-trial Monte Carlo forecast of the whole pipeline and compared it with the CRM commit. He added deal drill-downs, a live call scorecard and macro scenarios.
On fake demo data, Sam's AI forecast was $1.17M against a $1.44M CRM commit. Anis Bennaceur said it landed relatively close to the commit, which is what most companies see.
Attention CEO Anis Bennaceur open-sourced a dialed-down version of what Attention does. It scores sales conversations one at a time. Attention had never done Monte Carlo forecasting before Sam's build.
Anis said no. Forecasting is half of it; the other half is proactive actions that save deals, such as drafting a multithreading message to an unreached decision maker for the rep to review and send.
