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
Existing App Rescue | Next.js, Python, AI Systems & Production Fixes
Atlanta, United States - 1:41 am local time
My core stack is TypeScript, React, Next.js, Node.js, Python, FastAPI, Supabase, and PostgreSQL. I work across the full path from data and APIs through backend logic, typed UI, testing, deployment, and handoff.
What I can help with:
• App rescue and stabilization - production bugs, failed deployments, broken data flows, authentication problems, API integrations, performance issues, and incomplete features.
• Existing-codebase takeover - map what is there, separate symptoms from root causes, preserve working behavior, and produce a prioritized repair plan before expanding scope.
• AI-generated code hardening - review and repair Next.js or Python products created with AI tools so they build reliably, handle errors, protect secrets, and remain maintainable.
• AI and LLM features - Claude and OpenAI integrations, RAG, multi-agent workflows, evaluations, metering, step limits, audit trails, and human approval gates.
• Clear delivery - focused changes, visible acceptance checks, plain-language status updates, and short documentation explaining what changed and how to maintain it.
Recent work includes designing and building a multi-tenant AI-agent platform with enforced tenant isolation, metered model calls, bounded execution, sandboxed generated code, and human approval before consequential actions. I have also shipped multiple live Next.js applications and taken over a client-owned Bubble product, including a compatibility-scoring rebuild delivered to production in approximately 48 hours. That engagement grew into ongoing feature and maintenance work.
I bring more than software experience to production debugging. Before moving fully into development, I spent over a decade in instrumentation and controls work, including the U.S. Air Force and Blue Origin. The medium changed; the habits did not: trace the system, verify the signal, control risk, document the fix.
Send me the current stack, the observed failure, and what "working" must look like. I will tell you plainly whether I am the right fit and what I would inspect first.
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).

