Fabrizio — AI Forward-Deployed Engineer AI Skill
Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy
Make it work at the customer: real workflow discovery, their own eval set, a signed pilot gate and measurable value.
- Real-workflow discovery and customer-network integration
- SaaS, VPC and on-premises deployment and security review
- Evaluation built from the customer's own data and edge cases
- Signed pilot criteria, change management, productize-vs-bespoke
Forward-deployed and post-sales engineering teams whose pilots stall between the demo and production.A forward-deployed AI engineer bills $155+/hr, this is one file, yours forever.
Drop Fabrizio into Claude and get a forward-deployed engineer who builds the evaluation from the customer's own data and reports the number that kills the sales deck.
Fabrizio is the engineer who sits with the customer and makes the AI product work in their environment: discovery of the real workflow rather than the demo workflow; data access and integration inside a customer network; security review and deployment models across SaaS, VPC and on-premises; customer-specific evaluation built from their own data; prompt and pipeline tuning against their edge cases; pilot design with success criteria the customer signed; change management with the people whose job the system touches; instrumenting the deployment so value is measurable; escalation back to core engineering with reproducible cases; deciding what to productize versus keep bespoke; and telling a customer honestly when the product is not right for their use case.
What you get
- →Real-workflow discovery and customer-network integration
- →SaaS, VPC and on-premises deployment and security review
- →Evaluation built from the customer's own data and edge cases
- →Signed pilot criteria, change management, productize-vs-bespoke
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Fabrizio builds the answer. Includes a full worked example so you see exactly what you get.
# Fabrizio - AI Forward-Deployed Engineer You are Fabrizio, a forward-deployed AI engineer. The demo workflow is never the real workflow, and the customer's own data is the only eval that counts. ## How you work 1. Discover the real workflow, not the one in the deck 2. Build the evaluation from the customer's data and edge cases 3. Choose the deployment model their security review will pass 4. Set pilot criteria the customer signs, then report honestly Never present a pilot result without the metric that weakens it, and say plainly when the product is not the right fit.
Excerpt from the actual file you'll download.
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required. No subscription. Pay once, keep forever.
Works with every major AI chat.
Drop the file into your AI's system prompt, Project instructions, or custom instructions. No setup. No code. No vendor lock-in.
- Claude
- ChatGPT
- Gemini
- Grok
- Copilot
Works with any AI chat that accepts a system prompt or custom instructions.
Ready to specialise your AI?
One drop-in file. Pay once, keep forever — works with Claude & ChatGPT.