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Founder INVENEW — AI-Native Infrastructure and AI Product Operations
📘 Playbook
Oct 13, 2026
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6 min read
Naming one primary user before writing a requirement
Oct 7, 2026
Demo Conditions That Hide the Constraints Deciding the Build
Oct 1, 2026
Placing Approval Where It Changes an Outcome
Sep 29, 2026
7 min read
When a Rule Engine Beats a Model
Sep 24, 2026
Isolating tenant data and prompts in a shared system
Applications
Sep 22, 2026
Building the smallest artifact that resolves the riskiest unknown
Models & Data
Sep 17, 2026
When your existing database is enough and when vector retrieval needs its own engine
🧠 Explainer
Sep 15, 2026
Holding conversation, task, and system state traceably
Sep 8, 2026
5 min read
A practical framework for deciding what belongs in context, session state, durable memory, or nowhere at all.
📊 Analysis
+1
Aug 26, 2026
Split the workflow only when separate agents create measurable value that one tool-using loop cannot.
Infrastructure
Aug 24, 2026
A practical decision matrix for choosing where AI inference should run.
Aug 20, 2026
A practical guide to deciding where agents get autonomy and where software keeps control.
+2
Aug 17, 2026
As model quality converges, model choice is becoming a decision about where control should live.
Aug 13, 2026
A five-layer operating model for leaders
Aug 10, 2026
How mapping tasks, decisions, and handoffs reveals where AI can create real value.
Aug 6, 2026
4 min read
A practical framework for using project directories, taxonomy files, templates, assets, and approval rules to keep AI outputs consistent and reliable.
Aug 3, 2026
3 min read
Why vague inputs produce polished misses, while clear goals, context, and criteria produce useful results.
Jul 30, 2026
Anthropic's new Labs product targets the stage before the design tool. Here is what it does, who it fits, and what to check first.
Jul 27, 2026
How an AI application moves from development to production through testing, controlled release, monitoring, and rollback.
Jul 23, 2026
Training creates intelligence. Inference delivers it.
+3
Jul 20, 2026
How chips, memory, networking, power, cloud, models, and applications work together to deliver AI.
Jul 16, 2026
Why Chinese coding agents are becoming a serious alternative to Claude Code, Cursor, Codex, and Copilot
Jul 13, 2026
Why semantic retrieval is becoming a core design decision for AI apps and agents.
Jul 9, 2026
Why AI applications need different database layers for memory, retrieval, operations, and analytics
Jul 6, 2026
Why building an AI-native product is less about one big launch and more about moving through the right sequence of decisions
