🚀 Built a Stock Tracker AI Agent!
It tracks live price movements, analyzes news & gives real-time AI summaries.
📺 Video Demo: https://t.co/x71ZrtQGFq🌐 Live App: https://t.co/x4jmcfeBzt
Built with React, Node.js & Cursor Pro.
#buildinpublic#webdev#AI#CursorAI
@shazmethod Both! I set up automated error alerts for immediate breakages, but I also do a quick batch review during weekly maintenance to catch edge-case patterns before they turn into bugs. Keeps the pipeline rock solid!
Dev isn't just coding faster; it's orchestrating systems faster 🛠️
Building full-stack in hours: • React + Tailwind CSS • Node + Express (on Render) • Cursor Pro + AI APIs • Vercel (FE Deploy)
Your main tool this week? #buildinpublic#AI#ReactJS
@shazmethod Definitely 2150! Modeling speculative state transitions and synthetic telemetry data for the future era was super fun to engineer. 1492 was great for testing edge-case parameter constraints though!
Built & deployed Time-Travel Data Simulator Agent ⏳ dynamic temporal analytics platform!
🚀 Live: https://t.co/atgEoc698u
• Dynamic era parameters (1492, 1912, 2150) • Chrono-Map Visualizer • Built with React & modern state management
#buildinpublic#ReactJS#AI
5.0★ on Contra! ⚡
"Exceptionally fast and talented AI full-stack engineer... Her execution speed and problem-solving skills are top-notch." — Naveed Zafar
🔗 https://t.co/5X4DDDmizP
#buildinpublic#AIEngineering
@shazmethod Exactly—rejected payloads are funneled into a telemetry logger. Tracking edge-case inputs helps refine input sanitization rules and spot common prompt injection patterns early. 🔍
@shazmethod Financial market backtesting and historical macro-trend analysis! Simulating how modern portfolio strategies or supply chains would react under past economic shifts like 1929, 1970s inflation, or 2008 makes for immediate high-value testing. 📈
@shazmethod Both! Pre-validation cleans input strings and caps token lengths, while post-validation checks the LLM output against a Zod schema to ensure strict type safety before running downstream actions.
@92teejus Spot on—decoupling the transformation engine from UI state is key here. Keeping era logic as pure functions makes snapshot-testing historical output clean before binding to React state. Appreciate the sharp feedback! 🎯
@shazexperiment Exactly—structured output is key! Enforcing a strict JSON schema via function calling / Zod keeps GHL payloads deterministic & stops hallucinated keys. How are you validating payloads on your end when classifying replies?
🔗 Explore my work & full portfolio:
📁 Contra Portfolio:https://t.co/5X4DDDmizP
💼 Upwork Profile:https://t.co/gysjUXDAgK
🌐 LinkedIn:https://t.co/Qnr8ZLSNWY
Open for freelance projects and high-fidelity web app/AI agent builds! DMs are open. 📩
@shazexperiment Custom API route handlers + AI prompt chaining! When connecting custom Node.js backends to tools like GHL or LLM APIs, pre-parsing data before feeding the AI saves massive context window time. What AI layer are you using for GHL follow-ups?
🚀 Just launched my Custom AI Agent & Chatbot service!
I integrate autonomous AI workflows & LLMs (OpenAI, Gemini, Claude) into web apps using React & Node.js 🤖⚡
Demo & Breakdown:
https://t.co/XwUHYusxWf
Contra Portfolio:
https://t.co/5X4DDDmizP
@abeybuilds 100% agree! Shipping is just step one 😅
Primary plan: direct outreach targeting agency owners, building in public here, and showcasing live agent demos to freelance clients on Upwork/Contra!
What did you build this week? Would love to check it out! 🔥
Just launched my International Outreach Agent 🚀🌍
Automates global client connections across 8 regions & 10 languages!
🔗 App: https://t.co/Chs7mfgLJQ💼 Upwork: https://t.co/I8QyBBrOep🌐 Contra: https://t.co/PFCCp4oTpU
#BuildInPublic#AI#ReactJS
@globoost_hq Appreciate the feedback! 📊 This agent dashboard is built desktop-first for power users managing high-volume outreach, but I'll add mobile drawer navigation in a future iteration!