AI-native systems, market infrastructure and strategic execution
I work with teams building complex, technical and market-facing systems: AI-native workflows, market infrastructure, publishing systems, LLMO surfaces and go-to-market systems that need structure.
Available for consulting, partnerships, grant-backed collaborations and selected full-time or fractional roles.
Working in Paris time (CET/CEST).
Focused entry points
If you arrived with a specific problem, start with the closest page. Each page maps the buyer problem, useful outputs, public evidence and common fit questions.
AI GTM consultant
Positioning, launch narrative and execution systems for AI, technical and market-facing products that are hard to explain, sell or scale.
AI workflow systemsAI workflow systems
Agentic workflows, project instruction layers, validation gates and human review loops for teams adopting AI without losing control.
LLMO / answer-engine visibilityLLMO consultant
Search and answer-engine readiness for people, products and portfolios: structured pages, machine-readable indexes, FAQ schema and citation-friendly content.
AI publishing systemsKDP publishing automation
Fast, gated nonfiction publishing systems for market discovery, source-dependent drafting, layout, QA, commercial packaging and post-publication learning.
Agro commodity infrastructureAgro market infrastructure
Brokerage workflows, market-intelligence surfaces, commodity-index logic and execution-layer systems for physical grain and oilseed markets.
Product marketing / complex productsComplex product marketing
Narrative, positioning, offer design and proof architecture for products that cross technical, operational and commercial boundaries.
How I help teams ship
- Brokerage workflow and execution-layer mapping
- Market-intelligence, dashboard or benchmark structure
- Participant, signal, data and methodology model
- Commercial narrative for partners, grants or pilots
- Handoff: operating map + prioritized build plan
- AGENTS/RUNBOOK and project instruction surfaces
- Reusable skillpacks and validation gates
- Debugging, audit, research and handoff workflows
- Repo context, risk notes and operating conventions
- Implementation loop: ship, verify, document, repeat
- Positioning, offer and stakeholder narrative
- Landing/site/deck structure for technical products
- SEO, JSON-LD, LLMO and machine-readable indexes
- Evidence map: projects, methods, traction and use cases
- Implementation sprint: publish, measure and iterate
What you get (every time)
- A clear story: offer, audience, and why you win — in plain language.
- A practical plan you can execute with your current team and constraints.
- Shippable artifacts (docs, pages, checklists) — not just advice.
- An operating layer that connects strategy, product, market workflows and AI-assisted execution.
Not sure which track fits? Send 3 lines about what you’re building and where you’re stuck — I’ll point you to the best next step.
Credibility snapshot
- 20+ years across strategic marketing, product, growth, brand and international business communication.
- Hands-on agro-market infrastructure work around MN7R, Cropto, commodity indexes, monitoring and brokerage workflows.
- AI-native development stack: agent skills, project instruction layers, validation-gated workflows and LLMO infrastructure.
Start a conversation
Best via LinkedIn DM for quick context. Email works for longer briefs or partnership ideas.
