Guest on AI Engineer.

Your company brain will leak secrets: how we stopped it for big banks — Tanmai Gopal, PromptQL
Sep 3, 2026 · 26:25
Tanmai Gopal explains how to build a company brain: a single shared wiki of markdown files holding all context, with per-file read/write scopes. The agent proposes facts and scopes; a human accepts or rejects each change, with their name attached so leaks have an owner. Two use cases: personal recall (security questionnaire) and multiplayer debugging. Credentials are injected per user at the HTTP and SQL layers, never stored in the sandbox. Keep the summary between 500 and 800 characters — over that, it's rejected outright.

Realtime Data Connectivity for AI: Tanmai Gopal
Oct 11, 2024 · 7:14
Tanmai Gopal from Hasura introduces Pacha DDN, an AI-powered data access layer that lets LLMs securely query live data from multiple sources, arguing that the key is treating all data—structured, unstructured, and APIs—with a unified SQL-based query language. He demonstrates with a Blockbuster example: writing an email to a top customer by querying database transactions and recent rentals via natural language. The system uses an object model for authorization that applies rules based on data schema and session properties, regardless of data origin. To overcome LLM reasoning limitations, Pacha DDN asks the LLM to write Python code to retrieve data instead of reasoning directly. The talk concludes that for AI to be useful, it needs realtime data access, and Pacha DDN provides a secure, explainable query planner to achieve that.
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