You will get an autonomous AI agent that automates a multi-step task, with guardrails
Rising Talent
Project details
You'll get a real AI agent — one that takes a goal, decides which tools to call, and completes a multi-step task on its own, not a chatbot that just talks. I build agents on the Claude (or OpenAI) tool-use loop, wired to your tools and data, with a visible step trace so you see exactly what it did and why. Every agent ships with the guardrails that matter in production: human-in-the-loop approval before consequential actions, budget caps, a dry-run mode, an audit log, and runaway-step limits. The top tier adds a second "Critic" agent that vets each action and an automated eval harness that scores the agent against a contract. I've built exactly this — a multi-agent system with a Critic and eval harness running on a live platform. Safe by default, dependable, and documented.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-3, GPT-4What's included
| Service Tiers |
Starter
$900
|
Standard
$1,600
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 10 days | 14 days | 21 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
+$75
Add an eval harness + tests
(+ 3 Days)
+$400
Connect an extra tool / integration
(+ 3 Days)
+$300About Frank
AI Agent & LLM App Developer | RAG, Evals, Claude/OpenAI | Next.js
Atlanta, United States - 3:53 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 the agent
define the goal, the tools it needs, and what requires human approval.
Build the tool-use loop
connect the agent to your tools/data (read + propose).