AI Agent Prototype — a working LLM feature in your stack in 5 days
About this Gig
A working AI feature running against your real data in five days — not a slide deck, not a demo video. WHO THIS IS FOR You have an idea for an AI feature and need to know whether it actually works before committing a budget to it. Or you tried a no-code tool, it broke on real inputs, and you need an engineer. WHAT YOU GET • A working prototype deployed where you can use it — a web app, an API endpoint, or a feature inside your existing product. • Runs against your real data, not a toy sample. That is the whole point: real inputs are where AI features fail. • A small eval set so you can see how often it is right, instead of judging it on the three examples that happened to work. • Full source code, yours to keep, with a README a developer can pick up. • A short honest write-up: what works, what does not, what production would cost. EXAMPLES I CAN BUILD IN THIS SCOPE • Ask questions over your documents (RAG) with cited sources • Extract structured fields from PDFs, invoices, or emails • Classify or route incoming tickets, leads, or messages • Summarize calls, transcripts, or long reports • A single-purpose agent that uses one or two of your tools/APIs HOW IT RUNS Day 1 — a 30-minute call to pin down scope and success criteria. Day 2 to 4 — I build, and you get a link to try each day. Day 5 — handover, walkthrough, and the honest write-up. WHY ME I built agent evaluation infrastructure on contract with OpenAI, and I have been founding engineer at three startups (Zeplyn AI, Novis.AI, Flasho — YC W20). I have shipped RAG pipelines, document extraction platforms, and a WhatsApp assistant used by 10,000+ people. More at https://pravaahtech.ai NOT INCLUDED Production hardening, scale, auth, and ongoing support — those are the next step, and I will quote them honestly once we both know the prototype works. Model/API usage costs are yours (usually a few dollars at this scale). Message me with what you are trying to build and I will tell you straight whether five days is enough.
Requirements
To start, I need four things: 1. THE GOAL, IN ONE SENTENCE. What should this feature do, and what does "working" look like to you? For example: "answer customer questions from our help docs with a link to the source". 2. SAMPLE DATA. 10–50 real examples — documents, PDFs, transcripts, tickets, emails, spreadsheet rows, whatever the feature will run on. Real ones, not idealised ones. Redact anything sensitive; if you would rather sign an NDA first, just say so. 3. 5–10 EXAMPLE INPUTS WITH THE ANSWER YOU EXPECT. This becomes the eval set, and it is how we both judge the result objectively instead of by vibes. 4. WHERE IT SHOULD RUN. Standalone web app (simplest, and the default if you are not sure), an API endpoint I hand you, or inside your existing app — in which case I will need repo access and a note on the stack. OPTIONAL BUT HELPFUL: API keys if you want it on your own OpenAI/Anthropic account, plus access to any tool or system the feature must talk to (CRM, database, Slack, your product API). If you do not have all of this yet, message me anyway — the first call sorts most of it out in 30 minutes.
