Written for the person making the call.
Notes for founders, CTOs and product leaders on the decisions where product, engineering and quality intersect — engineering economics, product bets, AI product quality, and what independent technical judgment actually looks like.
Why adding engineers can make a scaling problem worse
Headcount doesn't fix a coordination problem — it multiplies it. What to check first.
What I would inspect before investing in a SaaS company
A technical read for an investor, not a founder — what the deck won't show you.
The real cost of a rewrite nobody scoped
"Let's just rewrite it" is the most expensive sentence in engineering.
Is your CTO problem actually a hiring problem?
Before you replace your CTO, check whether the role was ever staffed for the company you have.
The AI feature that looked done and wasn't
It passed every traditional check except the one that actually matters.
When a fractional advisor is the wrong call
Fractional isn't the right fit for every situation. Here's when to hire full-time instead.
Test pyramid that survives AI features
Evaluation layers, deterministic bases, and human sampling—without flaky E2E-only suites.
Product discovery for founder-led SaaS
Time-boxed spikes, riskiest assumptions, and ops involvement before roadmap fiction.
When to hire QA vs fix architecture first
A 90-day sequence to stop hero releases—then scale headcount with confidence.
What technical due diligence actually checks
Not a code review—a read on whether the architecture and the team can carry the growth the deck promises.
Advisory retainer vs a project engagement
One has a deliverable and an end date. The other is a standing second brain. Picking wrong wastes both.
Building a roadmap you can defend to a board
Most roadmaps don't fail in planning — they fail in the meeting where someone asks the one question nobody prepared for.
Automation frameworks that survive growth
Most frameworks work fine at 50 tests and collapse at 500. What actually determines whether one survives the team growing around it.
QA architecture consulting
Structural fixes—pyramids, CI gates, observability—before you hire another QA headcount.
Product leadership for AI-ready teams
Roadmaps, AI integration with guardrails, and advisory for teams that need engineering fluency in the room.
Facing one of these decisions right now?
Tell me what is happening, what it is costing the company, and what you need to decide. If there is no fit, I will say so.
Request an Advisory Fit Call