The RevOps stuff* you've been missing

AI cost optimization for revenue operations starts with one admission: most of what your stack does all day doesn't need a frontier model, and you're paying frontier rates to do it anyway.

We gave Jordan Crawford our playbook and watched him try to replace us.

14% of reps generate 80% of revenue. What they know, nobody else does.

A leaked CRO memo, annotated with comments you can steal, forward, or run a team training on.

You're running a stack of agents you can't observe. That's the orchestration tax: reconciliation work, token spend, and outcomes RevOps can't attribute. The fix isn't a smarter orchestrator. It's one shared context layer every agent reads from, and that you can see.

A practical library of AI-powered sales plays for prospecting, discovery, consensus-building, and closing complex deals.

Winning the mid-funnel isn't about pushing harder. It's about removing the exact friction blocking the next decision.

The architecture decision behind Loop, the layer that finally lets one agent understand every deal in your pipeline. The agent didn't get smarter. We engineered the context underneath it.

Get the full breakdown of how Informatica shifted from pitch decks to co-authored narratives.

How to simplify complex deals and sell through the chaos of modern life.

Most sales teams chase downstream chaos. This playbook finds the source of pipeline dropoff, so you can drive deals with clarity.

If you look at the way executives make some of their most significant, strategic, expensive and (potentially risky) decisions, there’s a pattern.

It's wild how many sales teams still rely on the “3X pipeline coverage” idea.

This 4,262 word email leaked from Mark Zuckerberg. And it shares almost everything you need to know about selling to executives, and what kind of messaging...

Read a sneak peak before the full book's released.

The 1-page framework to bridge the gap between your sales meetings and your buyer's internal meetings.