01 / The problem
What the system needs to solve
Teams want one assistant that can research the web, read their documents and respond by voice. Uploaded files and prompts become an attack surface, and answers without sources are hard to trust.
02 / The approach
How the pieces fit together
- Stream model responses with persistent chat history.
- Ground web research in Brave Search results and return source citations with each answer.
- Parse PDF, Word and text documents for summarization and information extraction.
- Run on a dedicated database and storage layer with access controls and audit logging.
03 / Key features
What it does
- Real-time web research with source citations
- Document analysis, summarization and information extraction
- Voice input, speech-to-text and optional text-to-speech replies
- Writing assistance, content rewriting and task planning
- Protection against prompt injection, unauthorized access and unsafe document processing
04 / The tradeoffs
Engineering is a set of choices
An isolated deployment with its own database and storage costs more to operate than shared platform infrastructure, but it limits what a malicious document or injected prompt can reach.
05 / Validation considerations
What to test before relying on it
Test with adversarial documents and prompt-injection attempts, and check that cited sources actually support each answer before treating research output as reliable.