Field notes from the lab.
Short technical notes from the workbench: what we are testing, what breaks, and what we trust.
Real-Time Fraud Detection: Architecture, Latency, and Regulatory Compliance
Learn how to build real-time fraud detection systems under a 50ms latency budget while ensuring DPDPA and RBI compliance.
Predictive Maintenance for Rotary Assets: A Practical Engineering Blueprint
A practical engineering blueprint for predictive maintenance on rotary assets. Avoid bandwidth traps and build unsupervised anomaly detection pipelines.
Implementing Computer Vision for Factory Defect Detection: An Engineering Guide
Learn how to deploy computer vision for factory defect detection. Solve lighting drift, optimize edge AI latency, and handle PLC integration.
How to Tell Real AI Engineering From API Wrapping: An AI Vendor Evaluation Framework
Run a rigorous AI vendor evaluation. Learn to audit data paths, assess API drift risks, and spot shallow API wrappers before signing.
How to Run an Engineering-First AI Audit: What to Measure Before You Build
Before you build, run an engineering-first AI audit. Map your data pipelines, compute limits, latency budgets, and compliance workflows like DPDPA.
How to Conduct an AI Readiness Audit to Map Manual-Process Leaks
Stop automating chaos. Learn how an AI readiness audit exposes dark manual steps, reduces API shadow failures, and cuts token costs by up to 90%.
How to Build a Secure Retrieval-Augmented Generation (RAG) System Without Data Leaks
Learn how to build a secure retrieval augmented generation system. Protect enterprise data with ACL metadata filtering, PII redaction, and local VPCs.
Enterprise Semantic Search: Architecture, ACLs, and Compliance at Scale
How to build secure enterprise semantic search. Learn to implement single-stage ACL filtering, comply with GDPR/DPDPA, and execute zero-downtime upgrades.
DPDPA Compliance for AI: Architectural Patterns for Engineering Teams
Achieve DPDPA compliance in your AI systems. Learn how to decouple LLM gateways, redact Indian PII, and build metadata-driven vector deletion.
Developer AI: Architecting Secure, Local-First Copilots for Engineering Teams
Learn how to architect a secure, hybrid local-first developer AI stack that reduces code churn, prevents data leaks, and preserves code quality.
Designing Privacy-First Healthcare AI: Production Architecture for Clinical Operations
Learn how to architect secure, privacy-first healthcare AI systems. Protect PHI using secure enclaves, local VPCs, and strict FHIR validation layers.
Designing Enterprise Multi-Agent AI: Memory, Verification, and State-Machine Architectures
Build reliable multi-agent AI systems. Learn how to replace autonomous chaos with deterministic state machines, compliant memory, and tiered verification.
Designing a Zero-Leakage Legal AI System for Private Contract Analysis
Build a secure legal AI pipeline for contract analysis. Learn how to prevent data leaks using a private RAG architecture within your VPC.
Building Production-Grade Content Automation: Reliable Social Publishing Infrastructure
Learn how to build production-grade content automation. Avoid OAuth race conditions, serverless timeouts, and API rate limits with durable execution.
Architecting Edge AI: Overcoming Memory, Bandwidth, and Compliance Bottlenecks
Architect robust edge AI systems. Overcome memory bandwidth limits, optimize models with INT8 quantization, and deploy secure OTA container updates.
Architecting a Private LLM: The Enterprise Guide for Regulated Industries
Architect a secure private LLM inside your VPC. Learn how to prevent data leaks, enforce RLS, and comply with strict HIPAA and DPDPA requirements.
AI Governance for Engineers: Building Verifiable Technical Controls
Build verifiable AI governance directly into your software architecture. Learn to implement egress gateways, consent-aware training, and RAG deletion.
Agentic Claims Triage: How to Build Production-Ready Insurance AI
Learn how to build production-ready insurance AI for claims triage. Combine deterministic state machines with micro-agents to automate document processing.
Agentic Automation vs. Traditional RPA: Architectural Trade-Offs for Engineering Leaders
Compare agentic automation and traditional RPA. Understand the architectural trade-offs in cost, latency, reliability, and compliance.