Our Community Tech

Three weeks ago, this page didn’t exist. Today, we have a portal, an automation pipeline, three active clients, and a growing library of content — all built on the belief that community-serving organizations deserve world-class technology. We’re not a startup chasing venture capital. We’re not building the next unicorn. We’re building tools for the organizations that make Dallas — and communities like it — a place where people can thrive. Every law firm that gets its message out more consistently. Every nonprofit that reclaims hours from manual processes. Every educator who spends less time on administration and more time with students. That’s the work. Technology built for nonprofits, by nonprofits. If that resonates with you, follow along. We’re just getting started. #OurCommunityTech #TechForGood #DallasTech #NonprofitTech #CommunityFirst

85% of businesses want to become an “agentic enterprise” within three years. Only 23% are actually building AI agents today. That gap tells you everything. The bottleneck isn’t ambition. 47% of leaders cite lack of internal expertise. 45% say business and IT teams aren’t aligned. For community-serving organizations, the path forward is actually clearer than for enterprises: 1. Pick one painful workflow 2. Document every step 3. Fix the data it depends on 4. Automate the coordination (not the judgment) 5. Measure time saved, not “AI interactions” You don’t need an AI strategy. You need a process strategy that happens to use AI where it makes sense. Start small. Start real. Start with what hurts most. #AgenticAI #OperationalAI #NonprofitTech #ProcessFirst #OurCommunityTech

Something my Harvard AI course taught me that I didn’t expect: The hardest part of AI adoption isn’t the technology. It’s making implicit knowledge explicit. Every organization runs on unwritten rules. The way things actually get done. The shortcuts. The workarounds. The “ask Maria, she knows how that works.” An AI agent can’t operate on “ask Maria.” It needs documented processes. Structured data. Clear decision criteria. The act of preparing for AI forces you to do something incredibly valuable: Write down how your organization actually works. That exercise alone is worth the effort. Because once it’s written down, you can improve it. And once it’s improved, you can automate it. Most organizations skip straight to automation. The ones that succeed start with documentation. #KnowledgeManagement #AIReadiness #NonprofitTech #ProcessDocumentation #ContinuousLearning

Our tech stack at Our Community Tech: Frontend: React, TypeScript, Tailwind CSS Backend: Express.js, Node.js, SQLite with Drizzle ORM AI: GPT for text refinement, image generation for branded visuals Social: Ayrshare API for multi-account LinkedIn posting Hosting: Vercel Repo: GitHub (private) Nothing bleeding-edge. Nothing proprietary. Nothing that locks a client in. That’s intentional. When you build for nonprofits, your technology choices carry ethical weight. If we disappear tomorrow, our clients should be able to pick up the codebase and keep running. Open standards. Common frameworks. Clear documentation. No vendor lock-in. That’s what “built for nonprofits” actually means in practice. #OpenSource #TechStack #NonprofitTech #TransparentTech #OurCommunityTech

I keep hearing “AI will replace jobs.” Here’s what I actually see happening: AI is replacing tasks. Not roles. The grant writer still writes grants. But the research phase that used to take two days now takes two hours. The attorney still counsels clients. But the document prep that consumed mornings is now a ten-minute review. The program director still designs programs. But the compliance reporting that ate Fridays is now automated. The role gets more human, not less. No agent replaces the trust built in a face-to-face conversation with a client who needs legal help. But an agent can make sure that conversation happens on time, with the right context, and without spending an hour pulling up case files. Not fewer people. Better-supported people. #AIAndWork #HumanFirst #NonprofitTech #FutureOfWork #AgenticAI

Something I’ve noticed working with nonprofits: The people doing the hardest work in our communities are often the least likely to ask for help with technology. They’ll figure it out. They’ll use the free version. They’ll build a spreadsheet that holds everything together with formulas and hope. Because the mission always comes first. I respect that deeply. But I also think it’s a problem we can solve. At Our Community Tech, we believe that operational infrastructure IS mission work. When your systems work, your team has more energy for the people you serve. When your data is organized, you make better decisions about programs. When your communication is automated, nobody falls through the cracks. Technology isn’t separate from impact. It enables it. #NonprofitLeadership #TechForGood #CommunityImpact #SocialEnterprise #OurCommunityTech

Here’s a number that should change how you think about organizations: Cursor, an AI-native code editor, hit $1 billion in annual recurring revenue with roughly 60 employees. That’s a preview of what organizations look like when they’re built around agents from day one. But here’s what most people miss about that story: It’s not about replacing people. It’s about restructuring work. Those 60 employees aren’t doing the jobs of 500. They’re doing different jobs entirely. Jobs that are higher-judgment, more creative, and more human. The question for community organizations isn’t “how do we get to 60 people doing the work of 500?” It’s “what would our 5-person team accomplish if coordination, scheduling, and data management were handled automatically?” That’s a much more interesting question. #AgenticAI #FutureOfWork #NonprofitTech #Innovation #OurCommunityTech

A lesson we learned building our first automation system: Map the process before you touch the technology. We spent a full week just documenting how our clients’ content went from idea to published LinkedIn post. Every step. Every handoff. Every bottleneck. The result surprised us. The biggest time sink wasn’t writing the post. It wasn’t even reviewing it. It was the back-and-forth coordination — who’s responsible, what’s the status, when does it go live. So that’s what we automated first. Not the creative work. The coordination. That distinction — automate the coordination, protect the judgment — is the principle behind everything we build. #ProcessDesign #Automation #NonprofitTech #HumanFirst #OurCommunityTech

“Technology built for nonprofits, by nonprofits.” That’s not just a tagline. It’s a design principle. When you build technology for an organization, you inherit their constraints. Their budget. Their team size. Their compliance requirements. Their timeline. Enterprise software ignores these constraints. It assumes unlimited budgets, dedicated IT teams, and 6-month implementation cycles. We don’t. Every system we design starts with three questions: Who is actually going to use this? What does their real workflow look like today? What’s the simplest thing we can build that makes their work meaningfully better? Simple doesn’t mean unsophisticated. It means we respect your time, your resources, and your mission enough to build only what you need. #NonprofitTech #DesignThinking #TechForGood #SimpleByDesign #OurCommunityTech

I’m currently taking a Harvard data science course on the agent-centric enterprise. One framework changed how I think about AI readiness: Discovering — ad hoc experimentation Aspiring — AI matters but governance is partial Accelerating — use cases scaling across teams Leading — AI deployed systematically with continuous improvement Most community organizations I work with are between Discovering and Aspiring. That’s not a criticism. That’s a meaningful place to be. It means you have clear pilot areas to build proof, governance, and leadership alignment. For most small organizations, the two highest-leverage investments are: 1. Culture — giving your team permission to experiment 2. Data — getting institutional knowledge out of people’s heads and into systems Everything else builds on those two. #AIReadiness #DataScience #NonprofitTech #ContinuousLearning #AgenticAI