Insights on AI implementation, performance measurement, and technical case studies
Agents In Production
How I use bounded work items, independent verification, error memory, checkpoints, and cost gates to keep long-running coding agents productive.
Jul 23, 2026
Read more →Agents In Production
The nondeterminism gets most of the attention, but the actual difficulty is shared mutable state, environment isolation, and statistical confidence — the same things that make distributed systems hard to test.
Mar 29, 2026
Read more →Computer Use Agents
Cross Platform Benchmark Study AP Automation
Jan 28, 2026
Read more →Computer Use Agents
How bounded reasoning actually works, why format mismatches killed 70% accuracy, and what HITL approval really means in production.
Jan 22, 2026
Read more →Computer Use Agents
I'm building a computer-use agent against real enterprise UIs. Not an API wrapper—something that has to perceive interfaces, identify real elements, and act in a way a human can inspect and understand.
Jan 13, 2026
Read more →Mechanistic Interpretability
An engineering investigation into confidence formation in transformer models
Jan 8, 2026
Read more →AI Implementation
Master agentic AI implementation with proven architectural patterns, benchmarking strategies, and production deployment techniques for software engineers and ML teams.
May 29, 2025
Read more →AI Implementation
Implement advanced Graph RAG for investment intelligence. Learn to build knowledge graphs, use Text2Cypher & vector search with Neo4j & LLMs for deeper financial analysis.
May 26, 2025
Read more →AI Implementation
Learn how to build a financial-analysis agent that merges LLMs, structured workflows, and economic data to deliver evidence-based insights with confidence scoring.
May 19, 2025
Read more →AI Implementation
A comprehensive framework for implementing robust, scalable, and business-impacting RAG architectures Learn how to architect, implement, and optimize production-grade Retrieval-Augmented Generation systems that reduce hallucinations and drive measurable business value. A technical guide for CTOs and engineering leaders.
May 16, 2025
Read more →AI Implementation
In this comprehensive guide, we'll explore how four popular vector databases – Pinecone, Weaviate, Milvus, and Qdrant – handle metadata filtering. We'll dive into the business impact, common pitfalls, selection criteria, technical implementation details, and emerging trends to help engineering leaders make informed decisions for their AI infrastructure.
May 12, 2025
Read more →Synthetic Data Generation
Learn how engineering leaders can leverage synthetic data generation (SDG) to evaluate RAG systems before production, reduce time-to-market, and build more reliable AI applications with measurable ROI.
May 1, 2025
Read more →Agents In Production
How I use bounded work items, independent verification, error memory, checkpoints, and cost gates to keep long-running coding agents productive.
Jul 23, 2026
Agents In Production
The nondeterminism gets most of the attention, but the actual difficulty is shared mutable state, environment isolation, and statistical confidence — the same things that make distributed systems hard to test.
Mar 29, 2026
Computer Use Agents
Cross Platform Benchmark Study AP Automation
Jan 28, 2026
Computer Use Agents
How bounded reasoning actually works, why format mismatches killed 70% accuracy, and what HITL approval really means in production.
Jan 22, 2026
Computer Use Agents
I'm building a computer-use agent against real enterprise UIs. Not an API wrapper—something that has to perceive interfaces, identify real elements, and act in a way a human can inspect and understand.
Jan 13, 2026
Mechanistic Interpretability
An engineering investigation into confidence formation in transformer models
Jan 8, 2026
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