🎯 We built ProspectAI - AI-Powered Sales Intelligence using Motia and Copilotkit Day 14 of #30Days30Automations From CSV to qualified leads in minutes:

🔗 Full code: https://t.co/C0B7LtT4tf 🔥 More Examples: https://t.co/9wWhSH6x5F RETWEET to share with your loved ones! https://t.co/Oidwv1dOpP

🛠️ Built with: • Motia - Event-driven orchestration • Gemini 3 Pro / Claude Opus 4.5 - AI analysis • NewsAPI - Real-time signals • Copilotkit - Frontend dashboard

We've used @copilotkit for Frontend UI Check the demo below where: 📤 Upload prospects 🤖 AI analyzes signals 📊 Get fit scores (0-100) ✉️ Generate personalized emails 🔔 Slack alerts 💬 "Who should I call this week?" Get Agentic answers in seconds!

We’ve crossed 3,000+ registrations for the @motiadev hackathon 🚀 Matrix Reloaded vibes this time, folks are learning how to build backend systems using AI tools in minutes. You can still jump in. Hack anytime this week and compete for $3,000 in prizes. Register on our website

With Motia Streams, you can share real-time cursor positions across connected clients. Build collaborative apps with just a few lines of code. Check out this cursor sharing demo 👇

One-shot full-stack apps with Motia and Cursor in minutes

Day 13 -> https://t.co/ULAtkHV3Cz Find the full open-source code Repo in the above link.

With Motia Streams, you can share real-time cursor positions across connected clients. Build collaborative apps with just a few lines of code. Check out this cursor sharing demo 👇

Most backend complexity is a choice. 🔵 The blue pill is another framework and more glue code. 🔴 The red pill is understanding how backend systems actually work. Backend Reloaded is about learning real backend fundamentals using AI and open-source tools like @motiadev, and

You can take the red pill tomorrow 🟥💊 Backend Reloaded Hackathon starts tomorrow. Learn backend development using AI and open source tools like @motiadev by building real, production style systems. APIs, background jobs, workflows, AI agents, and observability all in one

🚨 Google just launched the Interactions API, and we built a production-grade legal AI system with it in 24 hours. Multi-agent contract analysis using Gemini 3 Pro + Gemini 2.5 Flash + Gemini Deep Research agent 🔥 Different agents in one unified system! Demo in second tweet🧵

Day 12 is out now: https://t.co/DPYX9cGseb https://t.co/IznXTgh2E6

This is Day 12 of #30Days30Automations 🚀 📖 Full walkthrough: https://t.co/p9aFBPqAMp Building legal tech, compliance systems, or contract automation? This will save you months.

Results that matter: ⏱️ 4 hours → 90 seconds (97% time savings) 🎯 Catches policy violations single-pass LLMs miss 📈 Full observability: track every agent decision ✅ Production-ready: retries, error handling, webhooks This is enterprise AI, not a chatbot.

We also integrated the Deep Research agent (released 2 days ago!) for: 📚 Precedent contract analysis 🔍 Policy compliance checking 📊 Risk trend analysis across 100+ contracts The agent runs in background mode while users see live progress updates.

The magic happens here: 1️⃣ Upload contract (PDF/DOCX) → Extract text 2️⃣ Generator emits → Critic subscribes 3️⃣ Critic emits → Refiner subscribes 4️⃣ Real-time progress via SSE streams 5️⃣ Full audit trail stored in state Zero glue code. Pure orchestration.

Why Interactions API is a game-changer: ✅ Stateful conversations (no context resending) ✅ Background execution for long-running tasks ✅ Built-in tools (Google Search, Code Execution) ✅ Structured JSON outputs ✅ Multi-model orchestration in ONE API call Production-ready by

ContractGPT automates contract analysis through a 3-agent reflection pipeline: 🤖 Generator (Gemini 3 Pro) → Identifies 20+ risk categories 🧠 Critic (Gemini 2.5 Flash) → Meta-analyzes for false positives ✨ Refiner (Gemini 2.5 Flash) → Synthesizes actionable recommendations

Legal teams spend 4+ hours reviewing EVERY contract: • Reading 50-page agreements line-by-line • Catching liability gaps & compliance issues • Comparing against company policies • Negotiating edits with customers There's a better way → Watch Demo