Practical thinking on AI, Sales, GTM and Engineering — without the hype.
Where AI creates real business leverage, how Sales & LeadGen teams can work differently with AI, and how companies build engineering capacity without unnecessary complexity.
AI should not be introduced because everyone else is using it. Start with the business process, find the bottleneck, measure the baseline, and apply AI where it creates measurable leverage.
We don't automate broken sales processes. Process first. AI second.
Not every process needs AI. Here's how we spot the one or two that will actually move the numbers — before touching a tool.
Read insight → AI Sales & GTMIndividual AI use rarely compounds. The gap is usually a missing system — not a missing tool.
Read insight → AI Sales & GTMMore tools rarely fix a leaking funnel. Start by finding where and why leads actually stall.
Read insight → AI AgentsTwo very different things get sold as the same thing. Here's how to tell which one you need.
Read insight → AI AgentsResearch and prep are strong fits. Judgement-heavy steps usually aren't. A practical dividing line.
Read insight → AI & Business"AI strategy" is often a distraction. The useful question is narrower and far more answerable.
Read insight → AI & BusinessAdoption fails when AI adds work. It succeeds when it removes steps people already dislike.
Read insight → EngineeringA simple way to decide between a permanent hire and dedicated capacity, based on the actual need.
Read insight → EngineeringSlipped roadmaps and stalled revenue rarely show up in a hiring budget — but they're the bigger number.
Read insight →Let's identify where AI can actually create leverage — process first, AI second.
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