Products built with AI at the core. Not AI bolted on.
Vector databases. Evaluation frameworks. Prompt versioning. RAG systems. We architect products where AI is the engine, not the feature. $45–75 per hour. Founder-led architecture review on every project.
Why AI products break without the right foundation.
Most teams ship an LLM API wrapped in a UI. Users hit it with edge cases. The model hallucinates. The product breaks. No system to detect the hallucination. No way to iterate the prompt. No vector database to give context. No evaluation framework to measure quality degradation.
The result: abandoned projects. Frustrated founders. AI that looked magical in the demo and useless in production.
We think about data, evaluation, and versioning first. Before the first inference call. That is where AI products live or die.
AI products are data products.
The LLM is the engine. The data pipeline is the fuel. Your evaluation framework is the dashboard. Your prompt versioning is the code control. Build these first. The model choice becomes obvious.
This is where most teams get it backwards. They choose the model (GPT-4, Claude, Llama). Then they try to make it work. We choose the data strategy first. Then we architect the model and evaluation to fit.
AI product architecture, step by step.
Audit
We audit your current system (if you have one), or your product vision (if you don't). We map the data flows, identify where evaluation fits, and surface the gaps. 48 hours. $495. No proposal required.
Design the Stack
Vector database architecture. Retrieval strategy. Evaluation metrics. Prompt versioning workflow. We design these first. The inference engine comes later.
Build & Evaluate
We build the data pipeline. We build the evaluation framework to measure the model's performance in your specific context. We iterate on prompts, not models.
Scale with Confidence
Your product can now learn. New data flows in. Evaluation catches degradation. Prompts version with confidence. You own the AI product, not just the LLM.
Full-stack AI. Vector databases. Evaluation frameworks. Prompt versioning. RAG systems. LLM APIs. Fine-tuning pipelines. We architect the entire AI product stack.
$45–75 per hour. Transparent. No hidden fees. No minimum contracts. Senior engineers only. Every project reviewed by the founder.
Your AI product partner.
Not a vendor. Not a staff augmentation shop. A thinking partner who knows that AI products live or die on data architecture and evaluation frameworks. Founder-led. Engineer-first. Transparent. $45–75 per hour. 48-hour audit to start.