I come from accounting and finance. No CS degree. No traditional engineering background. Last 30 days: ~10,000+ lines of code shipped 120,000+ lines over the past year Not tutorials. Not side projects. Real systems. Live users. I’ve been launching SaaS platforms like vending machines on the internet. Small, focused systems that: • Solve a specific problem • Run workflows end-to-end • Can be deployed fast • Generate value immediately That shift changed everything. Most people think AI = chatbots. It’s not. It’s execution. The real opportunity is building systems that: → do the research → make the decisions → trigger the actions That’s what I’ve been building with ZULU. Not another tool. An engine that removes wasted effort before it starts. Still early. Still messy. But it’s live, it’s working, and people are using it. Building in public. If you’re working on something similar or thinking about it — let’s connect.

Just sent out my first SOW for Gulf Coast Tech & AI. Felt great to finally get the MVP in front of a real prospect. The Solution: ReconAssist I’m solving the "Book Reconciliation Nightmare" for a local firm. It’s not a financial tool; it’s a guidance layer to help them close books 5x faster. The Stack: * n8n (The Engine) • Airtable (The Database/Portal/Mobile Ingestion) • Gemini 2.5 Flash (OCR & Logic) • PDFMonkey (Formatting) • O365/Google Suite (Email & Storage) • QuickBooks Online (Fiscal System of Record for Expenses) The Reality Check: Tech hurdles are real. My Google Meet/Screen share struggled (new PC is officially on the 2026 debt-paydown reward list), but the demo held up. Offered a "Founders Credit" for the first 6 months to get that initial case study locked in. What’s Next: Switching gears to Real Estate. Looking at streamlining pitch decks for high-net-worth listings and social media automation for a top-tier local realtor. If you’re building in the "unsexy" automation space or want to see the deck I used for the pitch, let’s chat in the comments. [Link to www.gulfcoasttechai.com]

The key to success is showing up. We talked about goals and walked through tools like Windsurf, Gamma.app, Zora.app, and others to help you go from 0 → 1. The hardest part isn’t the tools. It's getting started. That starts by joining the calls.

Thanks to the insights, testing, and support from this community, Zulu.cash has been invited to present at the upcoming Houston AI Tinkerers meetup. This is a major step forward in what we’re building together. At the event, we’ll be showcasing: - Private, local-first AI agents - Real-time call + voice intelligence - Encrypted SQLCipher memory - Zero-cloud processing (no telemetry, no accounts) - Why privacy-preserving AI is becoming mission-critical Your feedback directly sharpened this direction — and now I want to take the next step with the technical members of the Lab. 🔥 Private Alpha — For the Builders & Privacy Innovators We’re not public yet. We’re testing Zulu.cash with a small group of builders who understand why private AI matters. If you want to run a Whisper → Diarization → SQLCipher → Ollama pipeline locally (your laptop = your agent), the repo is open: 👉 https://github.com/edgeconsultinglabs/zulu.cash This is not SaaS. No accounts. No cloud. No paywall. Just pure local-first compute and encrypted memory. Looking for feedback from: - privacy engineers - AI agent developers - ZK / MPC / Zcash builders - anyone passionate about sovereign compute If that’s you — jump in. Explore the repo. Open issues. Fork it. Let’s build. 🎤 Houston AI Tinkerers If you're around the Houston area, come join us at the event: 👉 https://houston.aitinkerers.org/ For everyone else, there are meetups worldwide: 👉 https://aitinkerers.org/ (Not affiliated — just amplifying a community of global innovators.) 📣 Bonus: Web3 + AI Class Coming Soon A lot of you have asked about deeper dives into Web3, tokenized systems, on-chain automation, privacy protocols, and AI x blockchain real-world use cases. This is an area I’m extremely passionate about — and with everything we’re building at Zulu.cash and beyond, I’m considering hosting a dedicated Web3 + AI builder session inside the Lab.

We’re now 184 members strong in the AI + Automation Lab! 🎉Welcome to all the new builders joining this week — be sure to say hello in the pinned Intro Post so we can connect and collaborate. This community is quickly becoming a powerful space to learn, share, and build real AI projects together. 🤖 Week 3 Challenge — Give Your Bot a Memory Over the past two weeks, you’ve built your first AI bot and taught it new skills.Now it’s time to take the next step toward agentic AI — by giving your bot a simple memory. 💡 This week’s goal:Make your bot context-aware — so it can remember what was said earlier in the chat and use that context when replying.This is the foundation of building an agent that can think, plan, and act over time. 🛠 Ideas to Try - Short-Term Memory: Store the last 5–10 messages in a conversation so your bot keeps context. - /recall Command: Let your bot summarize the recent chat history when you type /recall. - Contextual Replies: Have your bot reference earlier messages naturally (“As you mentioned before…”). Starter code is included in the Week 3 module — just extend your existing Week 2 bot, no need to rebuild from scratch. 📌 Your task: 1. Add a memory or recall feature to your bot. 2. Post a screenshot of your bot remembering or summarizing a past message. 3. Share one insight about how “memory” changes how your AI behaves. The goal here isn’t perfection — it’s progress.Every small step takes you closer to building fully autonomous AI agents. 💬 Comment below with your progress (or DM me if you have questions). Let’s make Week 3 the one where your bots start thinking for themselves! 🤖⚡ — Alula