Building Scalable Apps (Task Management, AI Chat, AI Data Analytics) with AppWizzy. Full Webinar скачать в хорошем качестве

Building Scalable Apps (Task Management, AI Chat, AI Data Analytics) with AppWizzy. Full Webinar

Can you really build production-ready web apps with AI in under an hour on real servers, not toy sandboxes? In this live session, I (Philip Daineka, founder of AppWizzy) build three full apps from scratch with AI coding agents on dedicated VMs: 1. A Kanban-style task/CRM app. 2. An AI burnout check chat + survey with scoring & charts. 3. An AI data explorer that turns CSV files into charts from plain-English requests. No pre-recorded perfect demo here: you'll see real errors, real debugging, and real code. 🔧 What you ll see inside In this webinar, you ll watch us: Spin up a fresh virtual machine per app on AppWizzy (PHP/LAMP stack in this session); Let an AI coding agent scaffold the app from a natural-language description Iterate like real developers: tweak roles & user stories fix drag-and-drop bugs add authentication & user-specific data; Build an AI burnout assistant that: asks questions in a chat-like interface calculates burnout dimensions (exhaustion, cynicism, etc.) visualizes results in charts; Create an AI data analysis tool where you: upload a CSV let AI describe the dataset & suggest charts (try to) generate charts by just describing them in English; Handle the messy bits: caching quirks 500 server errors AI breaking the page and then fixing it rolling back to previous versions when needed; You'll also get clear explanations of: AppWizzy vs Flatlogic product vs services: How credits, AI usage & refunds work; How we handle security & data sharing (per-app VM on Google Cloud; AI calls proxied via our internal API); How to download and self-host your app once you're happy with it. 🧪 Apps built in this session: App #1 Kanban Task/CRM App (PHP/LAMP) Columns with drag-and-drop tasks Tasks persisted in MySQL Versioning & rollbacks Authentication + per-user tasks Source code download for self-hosting App #2 Burnout AI Chat + Survey Chat-like interface asking burnout questions AI-powered scoring and textual analysis Charts for exhaustion / cynicism / personal efficacy UI refinements based on live feedback App #3 AI CSV Data Explorer Upload any CSV file AI reads headers + sample rows Generates a human description of your dataset. Attempts to generate charts from plain-English prompts Live debugging when chart rendering misbehaves. Final working version that turns your CSV into real visualizations. ⏱ Chapters: 00:00 Intro & agenda 01:16 Who joined & what people usually build with AppWizzy 04:00 Flatlogic vs AppWizzy & the professional vibe-coding platform 06:38 App #1: creating a Kanban task/CRM app (PHP/LAMP) 11:15 Spinning up the dedicated VM & first build 12:23 Testing the app & checking DB persistence 14:19 Making Kanban drag-and-drop + using versions & rollbacks 24:58 Coloring columns & UX polish 26:46 Adding authentication and tying tasks to users 32:49 Downloading the source code & self-hosting 34:06 App #2: AI burnout check chat + survey idea 37:58 Building the chat UI & flow 45:16 AI burnout analysis with charts 52:31 Moving results out of the chat & improving layout 55:25 App #3: AI data explorer from CSV 58:52 File upload UI & first AI analysis 01:01:24 Security & how data flows through AppWizzy + OpenAI 01:03:05 AI dataset summary & chart suggestions 01:10:10 Plain-English chart requests (and debugging when they fail) 01:18:45 Fixing 500 errors & using logs/rollbacks 01:25:04 Prebuilt working version: CSV → charts 01:26:36 Which site to use: AppWizzy vs Flatlogic 01:27:46 Wrap-up, next webinars & community (Feel free to tweak timestamps to your final cut.) 👉 Try it yourself 🚀 Build your own app with AppWizzy: https://appwizzy.com 💬 Join the community on Discord: https://discord.gg/flatlogic-community. If you watch this and think, I could use this for my startup / internal tool / side project, drop a comment with what you'd build next!