Justin Henriksen
Founder & CEO, GetLatest AI
Justin is the founder of GetLatest AI. 25 years building and leading technology, from Principal SWE to CEO. He writes about AI agent architecture, production systems, and what actually works.
What Comes Next
Most businesses that end up with effective agent systems started with one workflow they decided to take seriously.
The 30-Day Pilot That Actually Produces a Result
Most AI implementations fail not because the technology failed, but because the sequence was wrong.
Should You Build It Yourself?
Sometimes DIY is exactly right. Sometimes it is the most expensive mistake you make. Here is how to tell.
What AI Agents Actually Cost
Token costs are the smallest line item. Here's what the real number looks like.
Why the Demo Worked and Your Implementation Didn't
Demos use clean data and one workflow. Production has your actual data. That gap is real, and closeable.
Three Kinds of Agent Workflows - and How to Pick Your First
Not every workflow is worth automating. Here's how to find the one that is.
The Stack Your Agent Actually Needs to Touch
A thoughtful integration to a modest model will outperform a state-of-the-art model with no access to your data.
Map the Growth System Before You Touch Any Tech
Every business that got nowhere with AI started with the tool. The ones that made it work started with the process.
What an AI Agent Actually Is
Most "AI tools" wait for you to ask. Agents don't. That gap is where the value is.
The Platform the Taxonomy Demands: How SnappyClaw Delivers on the Agent Promise
Most platforms that claim autonomous agent capabilities cannot answer more than two or three of the six questions that define real agency. This article examines what it takes to build a platform that answers all six - and introduces the architectural capability no other platform has attempted: personal agent collaboration within a shared business context.
Why Most AI Systems Aren't Actually Agents: A Taxonomy of What Qualifies - and the Architecture Gap That Explains the Reliability Problem
Everyone calls everything an 'agent' now. A research-backed look at what actually qualifies - from session assistants to autonomous systems - and why even the most capable agents in production today still fall short of enterprise-grade reliability.
Why AI Agents Still Disappoint: The Gap Between Automation and Intelligence
People don't actually want pure AI agents. They want deterministic systems that reason when they need to. That product doesn't exist yet - and here's why every current option falls short: n8n, MAF, Claude Cowork, and the developer frameworks.
Why Your AI Forgets You Every Time (And What Real Memory Actually Looks Like)
ChatGPT and Claude both have memory features now. But personal continuity memory and agent working memory are solving completely different problems. Here's the full landscape in 2026: semantic/vector, graph, episodic, observational, and validated knowledge base architectures - and what to look for when evaluating AI systems built on any of them.
AI Agent Guardrails: The Practical Safety Checklist for Small Business Automation
Before you automate customer-facing tasks, you need safeguards. Here's what guardrails actually mean for business owners, and five non-negotiable safety rules for your AI agents.
AI Agents vs. Workflow Automation: The Business Owner's Guide to Picking the Right Tool
Zapier or AI agents? Make or build? Here's a jargon-free comparison of workflow automation and AI agent platforms, plus a five-question decision framework for small business owners.
Why AI Pilots Fail Before Launch: 7 Deal-Killing Mistakes Operators Can Prevent
Most AI pilots die between the demo and the rollout. Here are the seven pre-launch mistakes that kill projects, and how to rescue an initiative that is drifting toward the demo graveyard.
Human-in-the-Loop AI Workflows: The Approval Rules Small Businesses Need Before They Automate
Human in the loop AI workflows help small businesses automate routine work without losing control over money, customer commitments, or sensitive records. This guide lays out approval points, escalation rules, and a simple three-tier model.
The Solo Founder AI Operating System: What to Automate First Before You Buy Another Tool
Solo founders do not need more tools. They need the right four automations in the right order. Here is the lean stack that keeps software spend under control while covering the core functions of a one-person business.
What a Fractional AI Officer Actually Fixes in the First 90 Days
A fractional AI officer should do more than recommend tools. This guide lays out what the role should actually fix in the first 90 days, from workflow audits and early automation choices to governance and ROI reporting.
Fractional AI Officer Pricing: What Small Businesses Should Expect in 2026
Fractional AI officer pricing makes more sense when you buy outcomes, not an impressive title. Here is what small businesses should expect from the role, the pricing models, and the cost drivers before they sign anything.