AI tools built in public for marketing leaders and learners—because, as Troy Bolton and Gabriella Montez would say, we’re all in this together.
A brand discovery tool for cybersecurity founders. Twenty-one questions across six sections, designed to surface the convictions, beliefs, and strategic instincts that make your company yours, before a single campaign runs. Answer the questions, connect your own AI API key, and it generates five brand outputs: archetype, personality profile, positioning, visual direction brief, and taglines.
The positioning framework is April Dunford's. The believer marketing lens is Roei Deutsch's. The brand personality thinking draws from Don Jeter. I connected the dots and built the interface.
A pipeline goals and forecasting calculator that treats each marketing channel like a sales rep: with a number, a run rate, and nowhere to hide. Plug in your ARR target, conversion rates, and marketing's pipeline contribution. It walks you backward through the math and surfaces implied revenue shortfalls by week six, when you still have time to act.
The waterfall approach isn't new. I learned it from mentors who'd been running this math longer than I'd been in B2B. I just got tired of rebuilding it in spreadsheets every year and watching it fall apart the moment someone changed a formula.
A funnel health dashboard built directly on Sam Kuehnle's diagnostic methodology. He audited over 100 funnels and distilled the patterns into four failure modes: low-intent lead volume, sales/marketing misalignment, poor product-market fit, and unrealistic goals. This tool benchmarks you against SMB, Mid-Market, and Enterprise segments, ranks stage-by-stage improvements by revenue impact, and generates a printable PDF report with diagnostics and recommendations.
The diagnostic thinking is entirely Sam's. I gave it an interface.
Sam has a paid version of his diagnostic framework in the works. If this free tool is useful to you, the full version from the person who actually created it is worth watching for. The waitlist is now live!
I could have kept these tools private. Used them in interviews. Deployed them quietly for my own advantage. But that's not how I think about this moment. We're in a period where the gap between "talks about AI" and "builds with AI" is becoming a real differentiator, and the most useful thing any of us can do is show our work.
Not the polished case study version. The actual version, with the repo visible and the README honest about what's original and what's built on someone else's foundation.
Every repo documents what broke, not just what worked. AI assistance is acknowledged honestly. The README tells you what's original and what's borrowed.
If the framework is someone else's, say so. If the methodology comes from a mentor, name them. The work speaks for itself without pretending it appeared from nowhere.
These are starting points, not finish lines. The real value comes when you layer human intelligence on top of the findings, or even disprove them. AI is a thinking partner, not a replacement for thinking.
I'm looking for my next VP of Marketing or CMO seat at a cybersecurity company scaling from $1M to $50M. If that's the role you're hiring for, let's turn credibility into revenue.