8. Data Engineering for AI Agents: Pipelines, Real-Time Sync, and Vector Search

TL;DR Getting a data pipeline right is one job. Data engineering for AI agents is a different job. The agent has to actually consume that pipeline’s output,…

An image explaining the science of muhurat and its influence on Shraadh Paksh, featuring an older man performing a Hindu ritual.Image Title: The Science of Muhurat for Shraadh Paksh

From Pitr paksh to Diwali: Decoding the Energy Shift in Mahurat

the 3 source of light, the sun, the moon and the lagna goes down during Ashwin and Kartik. let us see how the mahurat energy shift and how it is managed by rituals and festivles

Building Real Human-in-the-Loop with LangGraph Checkpointing

7. Building Real Human-in-the-Loop with LangGraph Checkpointing

TL;DR A review queue with a button looks like human oversight. It isn’t — the automated decision has already taken effect by the time anyone opens that…

Compliance Infrastructure: Audit Trails, Policy-as-Code, and the Append-Only Principle

6. Compliance Infrastructure: Audit Trails, Policy-as-Code, and the Append-Only Principle

TL;DR We built three pieces of audit trail architecture for a regulated AI platform: a transactional outbox so an audit event can’t be silently lost between Postgres…

Red-Teaming AI — OWASP LLM Top 10 and the Probes You Actually Need

5. Red-Teaming AI: OWASP LLM Top 10 and the Probes You Actually Need

TL;DR We had heard of the OWASP LLM Top 10, and we had implemented fewer than half of it. We had PyRIT installed, and we had almost…

Securing Agentic AI Authentication, Authorization, and PII

4. Securing Agentic AI: Authentication, Authorization, and PII

TL;DR Our five-agent banking AI platform had OPA wired into exactly one agent. The MCP server had no auth middleware. All five agents shared one API key….

The 57-Gap Audit — Gap Categories and Discovery Method

3. The 57-Gap Audit — What “Done” Actually Means in Production AI

TL;DR After weeks of building a multi-agent AI platform — five agents, full pipeline, red-team harness, control UI — the system looked done. It wasn’t. A config…

The Engineering Platform: Orchestration, Monorepo, and the Stack Decisions

2. The Engineering Platform: Orchestration, Monorepo, and the Stack Decisions

TL;DR Once you decide to build a multi-agent AI system, you face three engineering choices that will determine whether the platform is governable or just functional: what…

Lessons From Building an Agentic Data Platform

17. Seventeen Parts Later: Lessons From Building an Agentic Data Platform

📌 TL;DR Seventeen articles. Seventeen components. One platform that generates, governs, and serves financial data through a network of coordinated AI agents. This final article reflects on…

Proactive Intelligence: Building Alert Systems That Think Ahead

16. Proactive Intelligence: Building Alert Systems That Think Ahead

Series: Building an Agentic Data Platform  |  Part 16 of 17Reading time: ⏳ ~12 minutesTags: 🏷️ alerting alert engine notification system escalation policy Prometheus AlertManager data quality…