
Knowledge platforms that agents can cite, not scrape
Enterprise AI knowledge platforms need retrieval, provenance, and access control so agents cite governed sources instead of scraping the intranet into unofficial policy.
Read the articleNotes on the technology decisions behind the systems we build.

Enterprise AI knowledge platforms need retrieval, provenance, and access control so agents cite governed sources instead of scraping the intranet into unofficial policy.
Read the articleWhen AI agents can move money or change citizen records, drafting is not enough. Approval gates, spend limits, and action whitelists for controlled autonomy. Bluelupin practitioner notes.
What India-based platforms should build for DPDP (consent, purpose, retention, DSRs, vendors, breach) and how to prove it before May 2027. A Bluelupin engineering checklist, not legal advice.
Capability evals and systems benches answer different questions. A plain map of LLM benchmarks for eng leads choosing what to measure before they pick a model or agent stack.
When should an agent use a decision model vs an LLM? A practitioner look at TypeSafe Jev use cases for tool approval, routing, and typed Choice/Score outputs.