Get an AI coding assistant trained on your competition documents

A private AI assistant that studies your competition files and answers coding questions using your own data.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"user asks a question"]:::trig s0[("load documents into database")]:::store s1["receive user question"]:::task s2["search private documents"]:::svc s3["generate grounded answer"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"answer grounded in your documents"/]:::out pay{{"private research without data leaving"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsKnowledge Base & RAGDocument Processing & OCR
Connects
OllamaQdrant

The problem it solves

You're working through a data science competition and constantly switching between guidelines, tutorials, and your own notes just to remember what applies where. A generic chatbot doesn't know your specific competition rules, and sending sensitive data to outside AI tools isn't an option.

Who it fits

Data scientists and analysts working on private or sensitive machine learning projects.

How it works

  1. Competition guidelines, tutorials, and notes are loaded into the system
  2. The documents are broken down and stored in a private searchable database
  3. You ask coding or strategy questions in chat
  4. The AI searches your documents and answers using your own material
  5. You receive an answer grounded in your specific project files
What you get

Competition questions answered from your own notes instantly

You get instant answers to your coding and strategy questions, grounded in your own competition notes and tutorials.

What you get

Direct answers to coding and strategy questions, based only on your own project documents, without any data leaving your machine.

What you need

A computer with a capable GPU to run the AI models locally, no external subscriptions required.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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