AI agents that read your real content and answer your users with sources, not hallucinations.
CMS, database, API: wherever your content lives.
RAG, embeddings, vector search, tuned to your content.
Drop the widget on your site, or expose it via API.
Use cases
Two examples of custom assistants I worked on: one for editorial research, one for DeFi analytics and chart generation.
Cryptoast internal tool
News articles, long-form guides, live crypto rankings, prices, market caps and volumes are all searchable from one internal chat, with citations back to the source content.
Example question
What's Solana's market cap, and which guide should I read first?
Example answer
Solana sits at $X.XB market cap as of today. For a primer, start with "What is Solana?" then move on to the staking guide.

DefiLlama client work
I designed LlamaAI and participated in its creation. It can fetch the DefiLlama database, answer analytics questions and generate unique charts directly from the data.
Example question
Create a chart with the top 10 protocols ranked by daily revenue.
Example answer
LlamaAI can query DefiLlama data, rank the top protocols by daily revenue, then render the result as an interactive React chart component instead of a static answer.

Tuned to your content: chunking, embeddings, ranking.
Every claim links back to the article, doc or row it came from.
Drop in a single script tag, or query via API.
I watch real questions and improve the retrieval over time.
Setup
$5,000–10,000
One-off. Depends on data sources, volume, and complexity of the retrieval pipeline.
Running costs
$150–600/mo
API + vector DB hosting. Scales with traffic; capped to a budget you set.
A few sentences is enough to start. I reply within 24 hours.