ROOTCAUSE Consultancy
The AI operating stack

I don't advise on AI. I operate on it.

Most consultants will tell you AI is transformative — from articles. My entire practice runs on an AI operating system I built and use daily: a second brain, a custom agent skill library, and automation pipelines that turn meetings into documentation and ideas into deployed prototypes. Every engagement ships with that leverage.

25+

custom agent skills, built and battle-tested in production work

14 PRDs

shipped in one quarter — specced, reviewed, post-launch analyzed

1–2 wks

from idea to deployed interactive prototype stakeholders can click

9 domains

in the second brain: people, decisions, features, meetings, dynamics…

The ecosystem

Everything connects through the brain. Meetings, messages, specs, data, and market signals flow in; documents, decisions, prototypes, and reports flow out — reviewed by me, produced at machine pace.

Meetings — recordings → decisions → docs
Messaging — drafted in my voice, reviewed
Specs & PRDs — builder, reviewer, drift detector
Data & SQL — schema-aware queries, dashboards
Market Intel — 20 competitors, monthly
Prototypes — idea → deployed URL in days

What's actually in the stack

The Second Brain

A structured, file-based knowledge system covering people, decisions, topics, features, meetings, and team dynamics — updated after every working session by an agent that proposes patches for review.

Why you care: Zero context loss. Month-old decisions, stakeholder positions, and meeting outcomes are retrievable in seconds — and every AI workflow runs on top of it.

Meeting → Action Pipeline

Recorded meetings are processed automatically: decisions extracted, PRDs updated in Confluence, follow-ups drafted for Slack, the brain patched — one pass, all destinations.

Why you care: Meetings stop evaporating. What was decided becomes what is documented, the same day.

Custom Skill Library

25+ purpose-built agent skills: PRD builder, schema-aware SQL writer, UAT bot, test-case writer, spec-vs-shipped drift detector, KB updater, stakeholder-comms reviewer, competitive intel dashboard, red-team critic that stress-tests my own proposals.

Why you care: Senior-quality deliverables at a pace one person shouldn't have: 14 PRDs shipped in a single quarter, with post-launch analysis.

Prototype Velocity

Idea → working interactive prototype → deployed URL in days, not sprints. A/B test dashboards, ROI calculators, full UI flows — built with AI, shipped via GitHub and Vercel, put in front of stakeholders while the idea is still warm.

Why you care: Stakeholders react to something clickable instead of debating a slide. Decisions land faster because the artifact exists.

Always-On Intelligence

A monthly competitive intel run across 20 tracked competitors plus industry signals, each item tagged with "so what for us". Self-improvement loop: every session is mined for waste and new skill candidates.

Why you care: The roadmap is informed by what the market shipped last month — not what someone remembered at planning.

Quality Gates for AI Itself

Frameworks for measuring AI feature quality in production: baseline failure rates, explicit targets, infrastructure-first fix sequencing. Built running an AI-first roadmap at a hospitality SaaS.

Why you care: AI features held to the same evidence standard as everything else. No demo-quality AI shipped to paying customers.

Exhibit A

You're looking at the stack right now.

This website — the copy, the diagrams, the interactive pricing modeler, the self-diagnostic, the charts — was designed, written, and shipped with the same AI operating system. The case-study evidence was mined from the second brain. Iteration cycles ran in hours, not weeks.

What this means for your engagement

You get the output of a team

PRDs, dashboards, prototypes, intel reports, and analysis at a pace and depth a solo consultant shouldn't be able to deliver. Fixed prices stay fixed — the leverage is mine, the benefit is yours.

Your AI roadmap, from an operator

AI-first product direction designed by someone who ships with these tools daily and has run AI features in production — including the quality gates that keep them honest.

The playbook transfers

Want your product team working like this? Part of any Run engagement: installing the workflows — meeting pipelines, spec automation, prototype velocity — inside your org, with your tools.

See what this looks like pointed at your product.

A 30-minute call to scope. No charge, no pressure — we'll know quickly if it's a fit.

Book a free 30-min call