You will get an AI-powered workflow or automation tool with human review
Project details
I build AI into real workflows, not bolted on as a gimmick. The AI does the heavy lifting: review, classify, validate, draft. It auto-handles the clear cases and routes anything ambiguous to a human through a clean review queue with accept, edit, or reject and a full audit trail. Built on Next.js plus Supabase plus OpenAI or Anthropic (Claude), deployed live. I work in Claude and Claude Code every day, so this is my daily craft.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Anomaly Detection, Natural Language Generation, Natural Language UnderstandingAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,800
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 10 days | 18 days | 28 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 Scott
Full-Stack Developer | Next.js, Supabase, AI | Sr. Security Engineer
Indianapolis, United States - 3:27 am local time
I'm a full-stack developer and senior security engineer. I build custom software your team and your customers actually use: SaaS products, internal tools, API integrations, and AI features wired into real workflows, on Next.js, React, TypeScript, and Supabase (Postgres, Auth, Storage, row-level security), deployed on Vercel, with Stripe for payments.
What I'm known for:
- Taking over and rescuing existing or AI/vibe-coded codebases, cleaning them up and shipping them live.
- Getting Supabase RLS and auth right so users can only ever touch their own data. This is my security background, and it's where most builds quietly leak.
- Building AI into products that hold up: document AI with citations, AI review and validation with a human in the loop, and automations that remove manual work.
Proof, all live: InspectKit, a production multi-tenant SaaS that fire-protection companies run their whole operation on (Supabase, RLS, Stripe, offline sync), plus a portfolio of live demos you can click through, each with a short walkthrough video.
You work directly with the builder. No account managers, no handoffs. Send me your project and let's scope it.
Skills: Next.js, React, TypeScript, Node.js, Supabase, PostgreSQL, Stripe, REST API, API integration, OpenAI, full-stack development, SaaS MVP, web application security, row-level security (RLS), Vercel.
Steps for completing your project
After purchasing the project, send requirements so Scott can start the project.
Delivery time starts when Scott receives requirements from you.
Scott works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & scope
Confirm the workflow, your rules and criteria, the data source, and your AI provider.
Build
AI review layer with confidence-based auto-fix vs human-review queue, plus an audit log.