THE BOUNDEV JOURNAL
The engineering
archive.
Earlier writing on software, hiring, and building AI. Articles retain their original URLs and publication dates; some historical offers and references are outdated.
Browse the archive
AI Agent Security Checklist for SaaS Founders
A 9-point AI agent security checklist for SaaS founders covering prompt injection, permissions, tool validation, monitoring, and safe shipping.
Why Most AI Pilots Never Reach Production (and How to Fix It)
Most AI pilots fail for boring reasons: weak ownership, messy data, and no path into real workflows. Here is the operators view on why that happens and how to fix it.
The Real Cost of Maintaining AI Products Nobody Talks About
Most teams budget for API usage and storage, then get surprised by evals, prompt drift, human review, and constant bug fixes. Here is what AI maintenance actually costs a
Small Teams, Bigger Output: The New AI Operating Model for Startups
How small startup teams are using AI to ship faster, keep headcount lean, and turn execution into a system.
Why Startups Are Building AI-Native Products Instead of AI Integrations
AI integrations are a feature. AI-native products are the product. That difference is why startups are moving away from bolt-on AI and toward systems where intelligence s
Retrieval-Augmented Generation Is Not Enough Anymore: What Comes Next
RAG fixed a real problem: getting models grounded in your data. It did not fix memory, workflow execution, tool reliability, or multi-step autonomy. This is what founders
AI Agents vs SaaS Dashboards: What Users Prefer in 2026
SaaS dashboards win when users need control and visibility. AI agents win when they want automated outcomes. The winning products in 2026 are hybrids that combine both.
How Founders Ship AI Weekly Without Expanding Teams
Shipping AI weekly is not about hiring faster. It is about a repeatable operating system that reduces decisions and lets small teams launch features without headcount gro
AI in Production: What Happens After Launch
Adding AI to your product is easy. The real work begins after launch, when the model faces messy production inputs and quality starts to drift. Here is the framework you
AI Ops for Startups: How a 6-Person Team Runs Like 50
AI Ops is not about adding more tools. It's about building a system where a 6-person team ships, supports, and sells like a 50-person company. Here's the 5-layer framewor
GO FROM THEORY TO PRACTICE
See an expert review, step by step.
Explore a sample report, a review rubric, and the evidence behind an evaluation.