You will get a working AI product prototype built from your expert method
Project details
I turn expert knowledge into working AI products. My clients are consultants, clinicians, educators, advisors, and founders who know something valuable but have no usable product around it. The method lives in your head, a slide deck, or a spreadsheet. I build the thing that makes it inspectable and sellable: a scored assessment, a client-facing tool, an intake workflow, or a working prototype you can put in front of a real user.
How it runs: first a Product and Workflow Read that maps your method into a build plan you keep. Then I ship one inspectable artifact on a live URL, real logic, not a mockup. Then I instrument it so the result is visible.
Recent work: a live paid product with a scored assessment and Stripe checkout, a clinician practice rebuild, an AI safety platform behind 240+ pages (client engagement), and an AI voice receptionist with a 43-scenario QA suite. Before this I spent two years at Salesforce, so I can sit in the strategy conversation and leave with something build-ready.
If you have a method and it needs to become a product, that is the work.
How it runs: first a Product and Workflow Read that maps your method into a build plan you keep. Then I ship one inspectable artifact on a live URL, real logic, not a mockup. Then I instrument it so the result is visible.
Recent work: a live paid product with a scored assessment and Stripe checkout, a clinician practice rebuild, an AI safety platform behind 240+ pages (client engagement), and an AI voice receptionist with a 43-scenario QA suite. Before this I spent two years at Salesforce, so I can sit in the strategy conversation and leave with something build-ready.
If you have a method and it needs to become a product, that is the work.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
Conversational AIAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$400
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 24 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Eric
AI Product Builder | MVP & Prototype Sprints for Expert-Led Founders
San Antonio, United States - 7:58 am local time
My clients are consultants, clinicians, educators, advisors, and founders who know something valuable but have no usable product around it. The method lives in their head, a slide deck, or a spreadsheet. I build the thing that makes it inspectable and sellable: a scored assessment, a client-facing tool, an intake workflow, or a working prototype you can put in front of a real user.
SELECTED WORK
• DecideNorth (client engagement). A sensitive relationship-intelligence idea became a live paid product: scored assessment, Stripe checkout, generated PDF reports, and a partner flow.
• CompanionWise (client engagement). Structured reviews, a 23-dimension safety methodology, quiz flow, and a publishing pipeline behind 140+ live pages.
• The Healing Journey. A clinician practice moved from a thin brochure site to service depth, local pages, schema, and a safer inquiry path. Live, and my first named client proof.
• Airtight Revenue. An AI voice receptionist for service businesses: Retell voice workflow, missed-call recovery, escalation rules, and a 43-scenario QA suite covering emergency, compliance, and Spanish-language cases.
• Brown Sugar Clinicians. A trust-sensitive rebuild for a health community, with source-grounded copy and routed care-seeker and clinician paths.
• CatchUp (client engagement). A cross-platform social-scheduling prototype: a React Native organizer app, a zero-install PWA that guests open from an SMS link, a real-time Convex backend, and a weighted scheduling engine.
HOW I WORK
1. Clarify. Find where the expertise is trapped and what a buyer actually needs to see.
2. Build. Ship one inspectable artifact first, not a roadmap.
3. Prove. Instrument it so the result is visible, not assumed.
4. Compound. Turn the build into something that keeps working.
BACKGROUND
Before this I spent two years as an Account Executive at Salesforce covering financial services digital transformation, so I can sit in a stakeholder conversation and leave with a scoped, build-ready system. MBA. MS in Applied Technology and Aging, USC. Air Force veteran.
Stack: React, Next.js, TypeScript, Python, Convex, Supabase, Vercel, Retell and LiveKit voice agents, Claude, OpenAI, Gemini, and n8n.
Best fit: a bounded sprint that turns a raw idea into a working artifact you can validate, sell, or take to production. If you have a method and it needs to become a product, that is the work.
Steps for completing your project
After purchasing the project, send requirements so Eric can start the project.
Delivery time starts when Eric receives requirements from you.
Eric works on your project following the steps below.
Revisions may occur after the delivery date.
Clarify: map your method into a product spec
Build: ship one inspectable artifact on a live URL