Got tired of rewriting the same prompts from scratch, so I made a tool where you fill in a few fields (goal, role, constraints, output format) and it spits out a clean, production-ready prompt. It does both task prompts and full system prompts. Stack: Next.js + OpenAI, hosted on Vercel. GitHub: https://github.com/Code-With-Vishal/Prompt-BuilderLive demo: https://prompt-builder-one-blush.vercel.app/ If you wanna run it yourself, just clone it, drop in your own OpenAI API key, and you're good to go. Setup steps are in the README. If it saves you some time, drop a ⭐ on the GitHub repo, helps more people find it. And happy to answer questions if anyone wants to build on top of it. 🔥

I built a full AI command center for real estate agents. 9 AI agents. One system. Here's everything it does: 🤖 LeadIQ — scores every inbound lead 0–100 automatically 📩 NurtureBot — generates 7-touch email + SMS sequences 🏠 ListingGenius — writes MLS copy + all social variants 📊 MarketPulse — full market analysis report in seconds ⚖️ DealCoach — analyzes offers, gives negotiation scripts 🔥 ReviveBot — reactivates dead leads with personalized outreach 👁️ ShowingIQ — turns buyer feedback into seller-ready summaries 📬 WeeklyPulse — auto-generates client update emails 📈 SourceIQ — tells agents exactly where to spend their marketing budget Every agent auto-scores leads on creation. Every call is logged with tokens, latency, and output. The whole system runs on Next.js + Supabase + GPT-4o. I documented the full architecture in a system audit — pages, API routes, database schema, env config, known issues, and a 30-second demo script. Dropping the full audit doc in the comments for free. If you're building AI systems for real estate (or any vertical), this is the exact stack and structure I'd recommend. 👇 What agent would you find most valuable if you were a real estate agent?

Wanted to share something I just shipped as a portfolio piece. It's a unified AI operations dashboard for Shopify stores with 3 live agents running inside it: Agent 1 — Customer Support Bot Customer sends a query → GPT-4o reads it → personalised reply sent in under 2 minutes. Zero human involvement. Agent 2 — Abandoned Cart Recovery Select the abandoned product → AI writes a 3-message WhatsApp sequence → sent at 1hr, 24hr, 48hr intervals automatically. Agent 3 — Product Description Generator Drop in a product name + features → get SEO title, product description, and Instagram caption in one click. Everything runs on OpenAI GPT-4o with a Vercel serverless backend. API key never exposed. Demo-ready in 60 seconds. The dashboard also has: — Mock analytics (revenue recovered, tickets resolved, carts recovered) — Live activity feed that updates on every agent run — Clickable orders panel that feeds straight into the support agent Live demo: https://shopify-ai-os-portfolio-demo.vercel.app/ Built this to target e-commerce clients on Upwork. Positioning it as a $1,500–$3,500 setup + $400/mo retainer. Would love feedback from anyone who's sold similar systems, what objections do you run into from e-commerce clients?

Me: “Why is this not working?” AI: “Because you forgot fallback.”Me: “Oh…” 💀 Spent 2 hours on this: - 3 rules = looks fine 🤓 - Add fallback = everything suddenly works 😅 Also had AI talking to itself because Slack was reading the wrong field 😂 Now it finally flows: Lead -> AI score -> Airtable -> Routing -> Slack ⚡ Sharing the convo if anyone’s building similar stuff:

How do you guys get over the fear of cold calling? Any tips on how to feel/sound/be more confident?