You will get a working prototype of your idea, built and demoed in one week
Project details
You will get a working AI prototype of your idea, built and demoed in about a week.
I take a messy problem, build the core, and hand you something you can actually click, test, and show, not a slide deck or a plan. Then you decide if it's worth taking further.
I build AI systems end to end and on my own: agents that run unattended, LLM and vision features, and the data pipelines behind them. On my own I designed and shipped a production, multi-service AI platform, with fifteen years in data and statistics behind it.
What you get: a working, demoable prototype, clean and documented source code, a short walkthrough of how it works, and a clear path to production.
Best for founders and teams who want to validate an AI idea fast, before committing to a full build. Tell me what you're picturing and I'll tell you honestly what's possible in a week and how I'd approach it.
I take a messy problem, build the core, and hand you something you can actually click, test, and show, not a slide deck or a plan. Then you decide if it's worth taking further.
I build AI systems end to end and on my own: agents that run unattended, LLM and vision features, and the data pipelines behind them. On my own I designed and shipped a production, multi-service AI platform, with fifteen years in data and statistics behind it.
What you get: a working, demoable prototype, clean and documented source code, a short walkthrough of how it works, and a clear path to production.
Best for founders and teams who want to validate an AI idea fast, before committing to a full build. Tell me what you're picturing and I'll tell you honestly what's possible in a week and how I'd approach it.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, Conversational AI, Image Analysis, Image Recognition, Natural Language Generation, Natural Language Understanding, Text Recognition, Time Series AnalysisAI Development Language
PythonAI Models
ChatGPT, OpenAI CodexWhat's included
| Service Tiers |
Starter
$650
|
Standard
$1,500
|
Advanced
$2,900
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 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 Feature
(+ 3 Days)
+$350
Deployment to your environment
(+ 2 Days)
+$500Frequently asked questions
About Jason
AI Builder & Consultant | Agentic Systems, LLM Tools & Automation
West Windsor Township, United States - 12:25 pm local time
Over the past year I designed, built, and shipped a production, multi-service AI platform solo: real-time data across 80+ sources, an agentic chat assistant with tool use, a public API, an MCP server for agents, and an autonomous agent that makes real decisions and grades its own results. I've also built LLM plus vision tools for real businesses (for example, turning sales screenshots into structured data with Anthropic and Gemini) and automation that runs on a schedule.
Before AI, fifteen years in data and statistics: a Carnegie Mellon statistician who ran reporting and business intelligence at Kabbage (now American Express), automated client reporting at Orchard, and built risk models at Accenture.
How I work: I take a messy problem, build the pipeline, and wrap it in a system that runs itself, often from idea to working prototype in hours. That speed is the point for founders and teams who need to ship, not just plan.
What I can build for you:
- Autonomous agents and loops (perceive, act, verify, improve)
- LLM and vision features: chat assistants, RAG, extraction, MCP tools
- Quantitative data pipelines and automation
- Full-stack web apps and internal tools
Stack: Python, TypeScript, Next.js/React, Node/Express, FastAPI, AWS, Postgres, and the modern AI toolset (OpenAI, Anthropic, Gemini, MCP, RAG, vision).
Message me with what you're building and I'll tell you honestly whether I'm the right fit and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Jason can start the project.
Delivery time starts when Jason receives requirements from you.
Jason works on your project following the steps below.
Revisions may occur after the delivery date.
Map the idea
A quick call or message thread to lock the core feature, the inputs, and exactly what the demo needs to show.
Build the core
I build a working prototype of the main feature, moving fast and sharing progress as it comes together.