You will get a small AI automation, MCP, or agent proof of concept
Project details
Use this when you have a repeated AI workflow, prompt process, internal task, or automation idea and want a small working proof of concept before committing to a larger build.
I can turn the rough workflow into a practical starter tool, agent instruction pack, MCP-style integration, API-backed automation, or documented prototype your team can test. The focus is a small useful version, not an overbuilt platform.
Good fit for Claude/Codex workflows, OpenAI/Claude features, browser or API automation, internal team tools, repeatable research or reporting tasks, and founder-built AI experiments that need structure.
I can turn the rough workflow into a practical starter tool, agent instruction pack, MCP-style integration, API-backed automation, or documented prototype your team can test. The focus is a small useful version, not an overbuilt platform.
Good fit for Claude/Codex workflows, OpenAI/Claude features, browser or API automation, internal team tools, repeatable research or reporting tasks, and founder-built AI experiments that need structure.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, ReplitAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 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.
Additional Revision
+$500Frequently asked questions
About Jed
Full-Stack AI Engineer | TypeScript, APIs, Claude Code
Silverthorne, United States - 6:42 am local time
Good fit if you need someone who can jump into an existing TypeScript/Node, Python, React, API, or AI workflow project and make it work without weeks of hand-holding. I can read unfamiliar codebases, trace bugs, map data flows, tighten prompts, fix integrations, add tests, and get deployments unstuck.
What I can help with:
- Fixing broken or half-built SaaS features
- Claude Code / AI-assisted development workflows
- OpenAI, Claude, RAG, MCP, and agent-backed app features
- REST/GraphQL APIs, OAuth, webhooks, background jobs, and data sync
- React, Next.js, Node.js, Python, PostgreSQL, Docker, and deployment cleanup
- Codebase audits, bug fixes, production hardening, and handoff docs
Recent work includes building Python MCP servers for interview workflows, founding and building a production SaaS platform from scratch, shipping AI workflow tools, debugging cloud tasks, and working across frontend, backend, database, and deployment layers.
How I work:
1. Find the real failure point quickly
2. Make the smallest useful fix or plan
3. Add tests/logging/docs where needed
4. Leave you with software your team can run, not a fragile demo
If you have a messy product, a stuck integration, or an AI feature that needs to become production-ready, I can help move it forward.
Steps for completing your project
After purchasing the project, send requirements so Jed can start the project.
Delivery time starts when Jed receives requirements from you.
Jed works on your project following the steps below.
Revisions may occur after the delivery date.
Build and document a reusable AI workflow
I map the workflow, build the smallest useful version, and document how to test or extend it.