Strategy

How to Hire React Native Developers Who Can Actually Ship (Not Just Pass a Coding Test)
- Larry Brooks
- Strategy, Software
- 29 Jun, 2026
A candidate aced our JavaScript assessment. Perfect score on algorithms. Clean React component design. Strong TypeScript. We hired them. Three months later, they could not debug a native crash, had n
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We Shipped a React Native App to 1.2 Million Users. Here Are the 7 Things We Wish We Knew on Day One.
- Larry Brooks
- Software, Strategy
- 18 Jun, 2026
At 1,000 users, React Native felt effortless. At 100,000 users, cracks appeared. At 1.2 million users, everything we assumed about mobile development was tested. Seven lessons stood out — each one le
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React Native vs. Flutter in 2026: The Honest Comparison Nobody Wants to Publish
- Larry Brooks
- Software, Strategy
- 04 Jun, 2026
We have shipped production apps in both React Native and Flutter. We have strong opinions about each. And most published comparisons are useless because they are written by advocates, not practitione
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How We Scaled a React Native Codebase to 200,000 Lines Without Losing Developer Velocity
- Larry Brooks
- Software, Strategy
- 21 May, 2026
At 20,000 lines, our React Native app was a joy to work on. At 80,000 lines, builds took 4 minutes and developers stepped on each other's changes daily. At 120,000 lines, we stopped and restructured.
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Expo or Bare Workflow? The Decision That Silently Determines Your React Native App's Ceiling
- Larry Brooks
- Software, Strategy
- 14 May, 2026
A startup CTO chose Expo because it promised faster development. Eight months later, his team spent three weeks ejecting to bare workflow because a critical feature required a native module Expo did
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AI Agents Will Not Replace Managers. They Will Expose the Ones Who Were Never Managing.
- Larry Brooks
- Strategy, Technology
- 04 May, 2026
An operations manager at a logistics company spent 70% of his time on three activities: checking task completion across teams, compiling status reports for leadership, and routing work to the appropr
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Your First AI Agent Should Not Be Customer-Facing. Here's What It Should Be.
- Larry Brooks
- AI Automation, Strategy
- 30 Apr, 2026
The instinct is understandable. You see AI agents handling customer conversations, booking meetings, and resolving support tickets. You want that for your organization. So your first agent project is
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How to Measure AI Agent ROI Without Fooling Yourself
- Larry Brooks
- Data, Strategy
- 27 Apr, 2026
The vendor says your AI agent will save $300,000 per year. Your CFO asks for proof. You pull together a spreadsheet that shows headcount reduction, efficiency gains, and volume improvements. The numb
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The AI Agent Skills Gap Is Creating a Two-Tier Job Market. Which Tier Are You On?
- Larry Brooks
- Strategy, Technology
- 23 Apr, 2026
Two job postings. Same company. Same department. One requires "experience deploying and managing AI agents in production environments." Salary: $185,000. The other requires "strong communication and
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AI Agent Security: What Happens When an Autonomous System Has Access to Your Business Data?
- Larry Brooks
- Technology, Strategy
- 16 Apr, 2026
An AI agent that cannot access your systems is useless. An AI agent with unrestricted access to your systems is dangerous. The entire value proposition of autonomous agents lives in the space between
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The Real Cost of Building an AI Agent In-House vs. Hiring an Expert
- Larry Brooks
- Strategy, AI Automation
- 09 Apr, 2026
A VP of Engineering told us his team could build their AI agent in eight weeks for $40,000. Fourteen months and $187,000 later, the agent handled 30% of the cases it was designed for. He called us th
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Why Your AI Agent Project Failed (It Wasn't the Technology)
- Larry Brooks
- AI Automation, Strategy
- 06 Apr, 2026
The AI agent worked perfectly in the demo. It failed completely in production. The team blamed the model. The vendor blamed the data. The executive sponsor quietly moved on to the next initiative. T
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Why Do Most AI Implementations Fail? (It's Not the Technology.)
- Larry Brooks
- Strategy, AI Automation
- 28 Mar, 2026
The technology works. That is no longer the question. AI marketing automation, predictive CRM, intelligent chatbots — these systems deliver measurable results when they are built correctly. The quest
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The 5 AI Agent Skills Your Team Needs to Develop Before 2027 (Or Risk Irrelevance)
- Larry Brooks
- Strategy, Technology
- 26 Mar, 2026
Within 18 months, every organization will either be building AI agents, managing AI agents, or competing against organizations that do both. The skills required to work effectively with autonomous AI
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Your Competitors Automated 6 Months Ago. Here's What They Know That You Don't.
- Larry Brooks
- AI Automation, Strategy
- 25 Mar, 2026
Six months ago, a consulting firm in your market automated its entire lead qualification pipeline. Today, their sales team spends zero hours on manual follow-up. Their system scores, segments, and nu
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Is Your Business Ready for AI Automation? Answer These 7 Questions to Find Out.
- Larry Brooks
- Strategy, AI Automation
- 14 Mar, 2026
Not every organization is ready for AI automation. Some will see immediate, measurable returns. Others will waste budget on tools their teams never adopt. The difference is not size, industry, or tec
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How Does AI Automation Actually Save Money? A Real Cost Breakdown.
- Larry Brooks
- Data, Strategy
- 07 Mar, 2026
The most honest question a business leader can ask about AI automation is not "will it work?" — it is "what does it actually cost, and when do I get that money back?" The answer depends on what you
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Stop Calling It 'Digital Transformation.' Call It What It Is: Survival.
- Larry Brooks
- Strategy, Technology
- 11 Feb, 2026
"Digital transformation" is a boardroom euphemism. It sounds optional. Strategic. Something you will get to in Q3 when the budget cycle resets and the leadership team has bandwidth for another initia
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What Should You Automate First? A Decision Framework for Business Leaders.
- Larry Brooks
- Strategy, AI Automation
- 07 Feb, 2026
The biggest risk in AI automation is not failure. It is starting with the wrong thing, getting underwhelming results, and concluding that AI does not work for your business. It does work. But only if
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The $47,000 Question Every Nonprofit Director Is Afraid to Answer
- Larry Brooks
- AI Automation, Strategy
- 28 Jan, 2026
$47,000. That is the average annual cost of manual data entry, donor follow-up, and campaign management for a mid-sized nonprofit. It is not a line item anyone tracks. It is invisible waste — buried
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The Hidden ROI of AI Automation Nobody Talks About: Your Team's Morale
- Larry Brooks
- Strategy, Technology
- 17 Jan, 2026
Every conversation about AI automation ROI centers on the same metrics: time saved, cost reduced, revenue increased. These are important. They are also incomplete. The ROI that most organizations un
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400+ Companies Use AI Automation. Here's Why Most of Them Started With the Wrong Thing.
- Larry Brooks
- Strategy, AI Automation
- 16 Dec, 2025
The first automation project is the most important one — not because of what it produces, but because of what it proves. It proves to leadership that AI works. It proves to your team that the investm
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The 5-Minute AI Audit: Find Your Biggest Automation Opportunity Before Lunch
- Larry Brooks
- AI Automation, Strategy
- 18 Nov, 2025
Before you hire anyone, before you buy any tool, take five minutes. That is all you need to identify the one process in your business that is silently consuming hours every week — and that a well-tar
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You Don't Need an AI Strategy. You Need One Automated Workflow. Here's How to Pick It.
- Larry Brooks
- AI Automation, Strategy
- 28 Oct, 2025
The companies that get the most from AI did not start with a strategy deck. They started with a single workflow that was costing them too much time, too many errors, or too many missed opportunities
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The Window for Early AI Adoption Is Closing. Here's What Happens After.
- Larry Brooks
- Strategy, Technology
- 21 Oct, 2025
There is a window in every technology cycle where early adopters build an advantage that late adopters can never fully close. It happened with email marketing. It happened with search optimization. I
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