# GXB > AI strategy and development. ## Pages - [GXB](https://gxb.sites.gxb.vc): GXB — AI Value Creation - [About GXB](https://gxb.sites.gxb.vc/about): About GXB — AI Strategy & Development Firm - [Book a Discovery Call](https://gxb.sites.gxb.vc/book): Book a Discovery Call — GXB - [You're Booked!](https://gxb.sites.gxb.vc/booked): Call Booked — GXB - [Get in Touch](https://gxb.sites.gxb.vc/contact): Contact Us — GXB - [GXB Logo Concepts](https://gxb.sites.gxb.vc/logos): GXB logo concepts. - [Projects](https://gxb.sites.gxb.vc/projects): What GXB has actually built — client work, internal platform, and open-source tools. - [Thoughts](https://gxb.sites.gxb.vc/thoughts): Ideas on AI, business, and what comes next. ## Thoughts - [AI Automation Consulting: How We Deliver 6 Months of Work in 2 Weeks](https://gxb.sites.gxb.vc/thoughts/ai-automation-consulting-6-months-in-2-weeks): The strategy brain and the hacker brain, working together with AI leverage. Here's how we actually do it. - [AI Business Process Automation: Where to Start](https://gxb.sites.gxb.vc/thoughts/ai-business-process-automation-where-to-start): A technical walkthrough of identifying high-ROI automation targets and building AI systems that actually work in production. - [AI Due Diligence for Private Equity: What to Look For](https://gxb.sites.gxb.vc/thoughts/ai-due-diligence-for-private-equity): A framework for evaluating AI readiness during due diligence — and how to price the AI opportunity into your investment thesis. - [AI Readiness Assessment: A Framework for Mid-Market Companies](https://gxb.sites.gxb.vc/thoughts/ai-readiness-assessment-framework): A practical framework for evaluating where AI can drive the most value in your business — and where you're not ready yet. - [The AI Transformation Roadmap for PE-Backed Companies](https://gxb.sites.gxb.vc/thoughts/ai-transformation-roadmap-for-pe): A step-by-step playbook for PE operating teams to deploy AI across portfolio companies — from diagnostic to full implementation. - [AI Unlocks Impossible Analysis](https://gxb.sites.gxb.vc/thoughts/ai-unlocks-impossible-analysis): I used AI to analyze every chord and melody in Weezer's discography. Here's what it taught me about business intelligence. - [I Built a Better Dashboard Than Strava in 10 Minutes — Without Writing a Single Line of Code](https://gxb.sites.gxb.vc/thoughts/better-dashboard-than-strava-in-10-minutes): I exported 7 years of Apple Health data, dropped it into Claude, and got interactive dashboards that outperform what any fitness app gives me. Here's what that means for SaaS, data portability, and the future of software. - [The Cloud AI Dependency Trap](https://gxb.sites.gxb.vc/thoughts/cloud-ai-dependency-trap): Every company building on OpenAI or Anthropic is making an implicit bet: that these providers will remain stable, affordable, transparent, and available. The evidence says otherwise. - [First principles for the AI era](https://gxb.sites.gxb.vc/thoughts/first-principles-for-the-ai-era): Every process in your company was designed around human limitations. Time to start over. - [The Four Kinds of AI Value Creation](https://gxb.sites.gxb.vc/thoughts/four-kinds-of-ai-value-creation): Two questions sort every AI initiative: did the spend exist before, and is AI the engineer or the employee? - [How do web apps work?](https://gxb.sites.gxb.vc/thoughts/how-web-apps-work): A web app is text, code, and a database talking to each other. This is a hands-on walkthrough: edit real HTML, real Ruby, and a real database table right on this page, and watch how a request actually gets built. - [Is SaaS Dead?](https://gxb.sites.gxb.vc/thoughts/is-saas-dead): No, but it's dying and nobody knows how quickly. - [The $6,000 AI Server That Embarrasses $120,000 GPU Rigs](https://gxb.sites.gxb.vc/thoughts/mac-studio-best-deal-in-ai): A dollar-for-dollar breakdown of AI memory pricing, what models you can actually run at each tier, and why the Mac Studio is the most underpriced hardware in AI. - [Measuring AI ROI: The Math PE Firms Actually Care About](https://gxb.sites.gxb.vc/thoughts/measuring-ai-roi-for-pe): Forget vague promises about 'efficiency.' Here's how to calculate the real EBITDA impact of AI initiatives. - [You Don't Need to Pay Frontier Labs a Dollar: Why Most PE Value Creation Can Run on Open-Source AI](https://gxb.sites.gxb.vc/thoughts/open-source-ai-for-pe): The benchmarks, the economics, and the case studies all point to the same conclusion: open-source models can handle the vast majority of what PE portfolio companies need AI to do. Here's the data. - [How to Optimize Your Site for LLMs](https://gxb.sites.gxb.vc/thoughts/optimize-your-site-for-llms): Your website was built for humans and Googlebot. Agents are the new visitors. Here's how to make your site legible to the LLMs that are increasingly reading it on your customers' behalf. - [How We Built a Real Estate Intelligence Platform in 2 Weeks](https://gxb.sites.gxb.vc/thoughts/real-estate-intelligence-platform-in-2-weeks): Every business in the US, Google review sentiment, demographic trends, automated investment memos — built by two people in two weeks. - [The SaaS Market Is Pricing In Its Own Disruption](https://gxb.sites.gxb.vc/thoughts/saas-market-pricing-in-disruption): EV/Revenue multiples across 40 major software companies are diverging dramatically. The pattern reveals which moats AI will erode — and which ones it won't. - [The next abstraction](https://gxb.sites.gxb.vc/thoughts/the-next-abstraction): Every major leap in computing came from hiding complexity behind a simpler interface — from punchcards to programming languages to GUIs to the cloud. AI is just the latest layer. The winners will be the ones who see what comes after it. - [The 3 AI Quick Wins Every PE-Backed CEO Should Deploy This Quarter](https://gxb.sites.gxb.vc/thoughts/three-ai-quick-wins-for-pe-ceos): Three concrete AI implementations you can ship this quarter that will show up in your next board deck. - [Why Two People + AI > A 50-Person Consulting Team](https://gxb.sites.gxb.vc/thoughts/two-people-plus-ai-vs-fifty-person-team): The economics of AI-native consulting: how infinite leverage changes who can deliver enterprise-grade work. - [What AI Strategy Consulting Actually Looks Like in 2026](https://gxb.sites.gxb.vc/thoughts/what-ai-strategy-consulting-looks-like-in-2026): The old consulting model is broken. Here's what AI strategy work looks like when you strip out the bloat. - [What is a computer?](https://gxb.sites.gxb.vc/thoughts/what-is-a-computer): You use one every day but probably can't explain how it works. Here's why understanding the basics changes how you think about AI. - [What is a large language model?](https://gxb.sites.gxb.vc/thoughts/what-is-a-large-language-model): The technology behind ChatGPT and Claude, explained by building one up from the simplest possible version. - [What is AI?](https://gxb.sites.gxb.vc/thoughts/what-is-ai): A plain-English explanation for people who run companies, not computer science departments. - [Why are people buying Mac Minis?](https://gxb.sites.gxb.vc/thoughts/why-are-people-buying-mac-minis): The $600 computer that's replacing $200K employees. What this means for headcount planning.