Insights

AI & Product Engineering Insights

Technical and strategic notes on AI workflow systems, custom business applications, and the backend foundations they rely on.

agent systems

Vercel eve: What Changes When Agents Are Directories

Vercel open-sourced eve on June 17, 2026 — a filesystem-first agent framework. What it changes for production agent systems, what it still leaves to you, and how we evaluate it for client work.

ai automation

AI Workflow Automation: The Real Build vs. Buy Decision

When automating complex business operations, the build vs. buy debate is rarely simple. Heres how to decide when to use a SaaS platform and when to build a custom system.

ai automation

How to Evaluate an AI Automation Vendor

A checklist for evaluating AI workflow vendors: who owns the system after week six, how review paths work, and how they handle failures in production.

ai automation

AI Agent System Cost: Engineering, Inference & Ops

What production AI agent systems actually cost: design and engineering, model inference, human review load, and ongoing ops.

ai agents

AI Agents vs Chatbots: When You Need Workflow Execution

Chat returns text. Agents execute workflows with tools, rules, and human review. How to tell which one you need before you fund the build.

internal tools

Internal Tools for Operations Teams: Design Principles That Drive Adoption

Most internal tools fail not because they lack features, but because they were never designed around the people who use them. Here is what separates internal software that gets adopted from software that gets worked around.

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