Service-assisted first
The launch path uses real advisory work and design-partner pilots before pretending the product is fully self-serve.
About / Philip's credibility
Founder-led product work built from real consulting, operations, and AI delivery problems.
Consulting AIOS is being built as a practical operating system for executive diagnosis, advisory workflows, document-grounded outputs, and durable organisational memory.
Why this exists
Generic AI is useful, but it does not automatically become consulting intelligence.
The platform thesis is that consulting work needs structure: questions, evidence, frameworks, decision rules, project context, source memory, and outputs that can survive beyond a single chat. Consulting AIOS is built around that operating model.
Markdown skills as source of truth
Consulting IP lives in structured GitHub skill files with metadata, references, eval fixtures, and graph relationships.
Tenant-safe architecture
Supabase Auth, RLS, Storage policies, audit logs, and data controls are part of the foundation, not a later afterthought.
Evidence-backed build process
Launch readiness is mapped to smoke tests, browser screenshots, deployment checks, and working product surfaces.
Founding path
Bring a real workflow, not a hypothetical demo script.
The best early users are founders, leadership teams, and consultants with live decisions, documents, playbooks, or advisory workflows they want to systemise.