Writing

Field notes for launch, pipeline, and revenue workflows.

Practical guides around AI Launch Rescue, GTM Engineering, and Revenue Workflow delivery. No thought-leadership fluff - just systems, evidence, and execution.

June 20269 min read

Why 80% of AI-Built Apps Fail in Production (And the 7 Things That Kill Them)

The demo worked. The launch did not. The auth gaps, error handling misses, logging blind spots, and rollout mistakes that keep breaking AI-built apps in production.

AI LaunchLaunch RescueProduction

April 20262 min read

I Audited 20 AI-Built Apps: Every Security Issue I Keep Finding

The recurring security issues in Lovable, Bolt, Cursor, v0, and other AI-built apps, with a practical launch-readiness checklist for founders.

SecurityAI Apps

April 20262 min read

Why Apple Rejected Your App and Exactly How to Fix It

A founder-focused guide to the most common App Store rejection reasons and the practical fixes before resubmitting.

App StoreMobile Launch

April 20261 min read

GoHighLevel Setup Guide for Non-Technical Founders

A practical GoHighLevel setup checklist for founders who need domains, funnels, CRM fields, automations, calendars, email, and tracking configured properly.

GoHighLevelPlatform Setup

April 20261 min read

Lovable vs Bolt vs Cursor: Which AI-Built Apps Are Hardest to Fix?

A practical comparison of Lovable, Bolt, and Cursor from a production-readiness perspective: security, deployment, code quality, and rescue effort.

AI AppsComparison

April 20261 min read

The Complete SPF, DKIM and DMARC Setup Guide for Founders

A plain-English guide to SPF, DKIM, and DMARC so founder emails, app notifications, and launch sequences actually land in inboxes.

EmailLaunch

April 20262 min read

What Is RAG for Business?

A practical explanation of retrieval-augmented generation for founders deciding whether a business chatbot, support agent, or internal assistant needs RAG.

RAGAI Glossary

April 20262 min read

LangChain vs LangGraph for Product Teams

A practical comparison of LangChain and LangGraph for teams building AI agents, RAG workflows, support automation, and long-running product systems.

LangChainLangGraph

April 20261 min read

How to Deploy AI-Built Apps

A deployment checklist for apps built with Lovable, Bolt, Cursor, v0, Next.js, React Native, and AI-assisted code generators.

DeploymentAI Apps

April 20261 min read

How to Secure Lovable and Bolt Apps

A practical security checklist for AI-generated apps before launch: secrets, auth, database rules, CORS, validation, logging, and dependency risk.

SecurityAI Apps

March 20262 min read

AI Agent Red Teaming Checklist

A practical red-teaming checklist for AI agents that use tools, retrieval, memory, customer data, and human handoffs.

AI Red TeamingAI Agents

March 20266 min read

Building AI Support Agents Operators Actually Trust

A production playbook for support agents with bounded scope, retrieval, tool permissions, escalation rules, tracing, and evaluations.

AI AgentsSupport Ops

February 20266 min read

When RAG Is Worth the Complexity for SMB Teams

A practical decision framework for RAG: data readiness, retrieval quality, evaluation, cost, ownership, and when a simpler workflow wins.

RAGAI Engineering

January 20265 min read

Shipping AI Workflows Without Breaking Existing Ops

How to introduce AI into real operations with event mapping, human review, state machines, rollback paths, and measured rollout.

WorkflowAI Delivery

January 20265 min read

AI Customer Support Automation for SMB Teams

A technical blueprint for small-team support automation: intake, intent detection, RAG, queues, safeguards, metrics, and escalation.

AI SupportSMB Systems

December 20255 min read

AI Workflow Automation for Service Businesses

A service-business automation guide covering intake, routing, scheduling, client updates, approvals, exception queues, and AI safety.

AutomationService Ops

November 20255 min read

Building Internal Knowledge Bases for Operations Teams

How to design an internal knowledge base for operational work: source ownership, chunking, retrieval, permissions, feedback, and evaluation.

Knowledge SystemsRAG Ops

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