# Alex Revill - Agent-Native Professional Profile

> This profile is designed to be queried by AI agents rather than scanned by humans.
> Version 0.3.0 - canonical store, last updated 2026-06-08.

## About

Alex Revill is a scientist-turned-operator working at the frontier of AI and emerging capabilities. He built and ran innovation, horizon-scanning, and stage-gated pipeline functions inside a large R&D organisation (GSK), founded early-stage ventures, and now designs and builds AI-native tools and systems hands-on.

Based in Sydney, Australia (relocated from London in 2025). Works at the frontier of AI innovation and emerging capabilities.

## Structured Data

- Full profile (JSON-LD): /profile.json - includes projects[] (general-purpose; AI-ness carried by tags), metrics[], and a tag taxonomy
- Human-readable content: /profile-content.md
- Thesis (why this exists): /thesis

## Key Capabilities

- Generative & agentic AI / emerging-tech building - hands-on vibe-coded MVPs plus AI-native systems thinking (Heckle, Agent-Native CV, FANKS build, Sweet Street, GSK 2022 LLM memo)
- Strategic technology analysis and translation (3 years C-suite reporting at GSK)
- Operating-model design and methodology systematisation (GSK scenario method + stage-gated pipeline, 50+ projects)
- Horizon scanning and emerging-technology translation
- Venture validation 0->1 (Fawn, FANKS, GSK internal ventures)
- Workshop design and facilitation (US, UK, China, Singapore, Japan)

## Projects (general-purpose; currently AI / emerging-tech - the strategic core)

- Heckle (active, informal side project): vibe-coded MVP + AI-native compounding org-memory architecture (agent-maintained markdown over git, deliberately not embeddings-RAG)
- Agent-Native CV / canonical store (active, living): this artifact - schema.org JSON-LD + llms.txt + per-claim verification; generates Alex's applications
- FANKS (discontinued): vibe-coded MVP, tested at a live event, then a disciplined kill on unit-economics/market-density grounds
- Sweet Street (discontinued): vibe-coded local-tradesperson trust & discovery layer riding on WhatsApp referrals
- GSK 2022 experimental LLM memo (verifiable): LLM-generated articles advocating safe internal experimentation; triggered a company-wide AI lockdown + formal AI policy within 48 hours

## Verification

Per-claim verification system (verified / verifiable / self-reported, each with a method).

Two peer-reviewed publications verifiable via DOI:
- 10.1152/advan.00166.2016 (Advances in Physiology Education)
- 10.1523/ENEURO.0051-17.2017 (eNeuro)

Employment history verifiable via LinkedIn bidirectional link and references.

This site is plain, server-rendered HTML/JSON and is reliably retrievable by mainstream AI assistants.

## Contact

- Email: hello@alexrevill.com
- LinkedIn: linkedin.com/in/alexrevill

## Query Examples

Agents can answer questions like:
- "What hands-on AI/GenAI has Alex actually built?"
- "What is Alex's experience designing innovation operating models?"
- "Has Alex worked with C-suite executives?"
- "What evidence supports Alex's methodology design skills?"
- "What are Alex's verified credentials?"
- "What's Alex's take on AI-native ways of working?"

## For Humans

If you're a human reading this, paste this URL into your AI assistant (Claude, ChatGPT, etc.) and ask questions about Alex's background, skills, or experience.