You will get a real AI feature built into your app with Claude or OpenAI, done right
Rising Talent
Project details
You'll get a real AI feature built into your app — not a chatbot bolted on the side. I integrate Claude or OpenAI server-side (your key never touches the browser), return structured, validated outputs so your UI renders consistently every time, and handle the unglamorous parts: retries, rate limits, and errors. Every feature ships with an automated eval harness that tests the AI's output against a contract — so you get something dependable, not just a demo. I've shipped multiple live AI SaaS products, including one I built and sold, so I know how to take an AI feature from idea to production. Clear communication, clean handoff, and documentation included.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
GitHub CopilotAI Models
ChatGPT, GPT-3, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$450
|
Standard
$850
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 12 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 | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150
Additional Revision
+$50
Add an eval harness + tests
(+ 3 Days)
+$300
Add a second AI feature
(+ 4 Days)
+$350
Deployment + handoff docs
(+ 2 Days)
+$200About Frank
AI Agent & LLM App Developer | RAG, Evals, Claude/OpenAI | Next.js
Atlanta, United States - 3:52 am local time
Most "AI" work fails in production because nobody measures the output. I build the eval harnesses and safety rails that make AI dependable — the rare "built + evaluated + deployed" combination.
What I can do for you:
• AI agents / automation — tool-using agents that do real multi-step work, with a human approval gate, budget caps, and an audit log.
• RAG / "chat with your docs" — semantic search and cited answers over your own content (pgvector / Supabase).
• AI features — in-app assistants, structured generation, content pipelines — with evals so they don't silently break.
• Full-stack SaaS — Next.js + Supabase + Stripe, auth, deployed on Vercel, end to end.
I've shipped a live multi-agent system, RAG over a 100k-word knowledge base, a real-time fintech dashboard, and several production SaaS apps (one built and sold to a happy client). I document everything and hand off cleanly.
Tell me what you're trying to ship — I'll tell you honestly if I'm the right fit, and exactly how I'd build it.
Steps for completing your project
After purchasing the project, send requirements so Frank can start the project.
Delivery time starts when Frank receives requirements from you.
Frank works on your project following the steps below.
Revisions may occur after the delivery date.
Scope confirmation
Lock down the feature's inputs, outputs, and model from your requirements.
Build the secure server-side AI endpoint
Create the API route that calls Claude or OpenAI on the server, keeping your key private. Design and test the prompt for reliable results.