You will get the AI feature design thats actually worth shipping
Project details
Adding AI to your product is easy to start and easy to get wrong. I'll help
you scope the version actually worth building — chatbot, lead scoring, agent
workflow, recommendation, automation — with the human-in-the-loop design,
guardrails, and success metrics that make it trustworthy and shippable. Built
by a PM who knows the difference between an impressive demo and a feature that
survives real users.
WHAT YOU GET (by tier):
• Basic ($549): 1 AI feature scoped, use cases + user flows, human-in-the-loop
design, success metrics + acceptance criteria, prompt/model approach.
• Standard ($1,100): adds a build-ready PRD for engineering, backend/data
alignment notes, a validation plan, and a risk + guardrail review.
• Premium ($2,200): a working prototype (no-code/LLM), tested against sample
inputs, iterated on results, plus an engineering handoff + kickoff call.
you scope the version actually worth building — chatbot, lead scoring, agent
workflow, recommendation, automation — with the human-in-the-loop design,
guardrails, and success metrics that make it trustworthy and shippable. Built
by a PM who knows the difference between an impressive demo and a feature that
survives real users.
WHAT YOU GET (by tier):
• Basic ($549): 1 AI feature scoped, use cases + user flows, human-in-the-loop
design, success metrics + acceptance criteria, prompt/model approach.
• Standard ($1,100): adds a build-ready PRD for engineering, backend/data
alignment notes, a validation plan, and a risk + guardrail review.
• Premium ($2,200): a working prototype (no-code/LLM), tested against sample
inputs, iterated on results, plus an engineering handoff + kickoff call.
AI Development Type
Knowledge RepresentationWhat's included
| Service Tiers |
Starter
$549
|
Standard
$1,100
|
Advanced
$2,200
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
About Piaget
AI-First Product Leader | B2B SaaS, LLM Features, 0 to 1 Strategy
Lewisville, United States - 9:56 pm local time
products — with AI built in from day one, not bolted on.
Over 12+ years I've led product from 0→1 and at scale: a $22M SaaS program
at McGraw-Hill serving 24,000 institutions and 13.2M users, a portfolio that
grew revenue from $20M to $33M at Lido Labs, and an early seat
at SendGrid before its acquisition by Twilio. I've since founded my own SaaS
platform from 0→1 — so I know what it takes to build, position, and ship a
product when you own every decision.
What I do for clients:
• Product strategy & roadmaps — turn vision into a prioritized, defensible plan
• 0→1 product builds — validation, MVP scoping, go-to-market
• AI/LLM feature design — lead scoring, automation, agent workflows, and
human-in-the-loop features that actually ship
• PRDs, user stories & specs — documentation your engineers build from
without guessing
• Product audits — find what's blocking adoption, retention, or velocity, and fix it
I've shipped in the hard environments — fintech and lending, cybersecurity,
edtech, and compliance-heavy products (TCPA/DNC, regulated data) — where the
cost of getting it wrong is real.
Tools I live in: Jira, Confluence, Amplitude, Figma/Miro, Notion, Airtable,
plus the modern AI stack — Claude, GPT, n8n, Make, Cursor, and v0.
If you need someone who can think strategically and also write the spec, run
the sprint, lead/mentor the team, and ship the thing — let's talk. I respond fast, and I don't disappear mid-project.
Steps for completing your project
After purchasing the project, send requirements so Piaget can start the project.
Delivery time starts when Piaget receives requirements from you.
Piaget works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery Call
Work begins