Today I added 4 important workflows to my AI Real Estate Voice Agent system: - check_availability — checks real calendar availability before offering a viewing time. - notify_kimberly — instantly alerts the broker about qualified leads, appointments, and important events. - send_follow_up — automatically follows up with leads after conversations. - end_call — safely closes completed conversations with a structured outcome. The goal isn't just to make an AI that can talk. I'm building a complete system where: AI Conversation → Property Search → Property Details → Availability → Booking → Notification → Follow-Up → CRM → End Call Everything is connected through Retell AI + n8n + Google Calendar + Google Sheets/CRM with validation, structured responses, error handling, and duplicate protection. Still building. Still improving. Day 32 — turning a voice agent into a real business automation system. Tags #Day32 #AI #AIAgents #VoiceAI #RealEstateAI #AIRealEstate #n8n #RetellAI #Automation #AIAutomation #WorkflowAutomation #LeadAutomation #CRM #GoogleCalendar #BuildInPublic

I need some help on how to fix and improve the quality of work that AI Agents (claude / codex) output. Context: i am having Codex and Claude Code do full end to end knowledge work directly for me and i am getting inconsistent and sometimes poor output quality on the work it does. I am having CC and Codex: - Manage my outlook for me (reply to my emails, write and send emails for me (without me reviewing)) - Create 3D CAD for mechanical components (from their 2D drawings) - Buildout my entire Hubspot (CRM) to launch a new business, (amongst various other work) I am noticing if Codex / claude (AI Agents overall) .. if they are not trained on HOW to do a process & what is a good output for the work its doing ... it will guess on what to do and what is good output for that task its doing This guessing leads to poor quality in some of the tasks it does for that knowledge work. So for example: the emails that Codex / CC writes are often poorly written, phrased poorly and unclear - The emails are not to the point & not the same way you would write the same email in a structured, clean way) - The mechanical engineering it does (with 3D CAD creation) often miss important dimensional features thus making their final output wrong - Etc I want to have my AI Agents (Codex and Claude) do more full end to end knowledge work for me... (and do it autonomously with me babysitting) but i need to know that the output quality of the work it does will be great ... I need to TRUST that it can do the work and have great output. HOW do i do this? @Brendan Jowett

This video shows you how to automate your Instagram content creation using three Claude skills that generate carousel posts, short form scripts from scratch, and repurposed scripts from long form YouTube videos. Every slide and script is produced with AI, including image generation powered by the OpenAI GPT image 2 model. You will see real examples of AI generated carousel slides with perfect text rendering and clean design, plus fully written reel scripts ready to record and post. Check it out 👇

I’ve been thinking about something lately. A lot of businesses don't actually have a people problem. They have a repetitive-work problem. Leads sitting in inboxes. Customers waiting for replies. Quotes being prepared manually. Teams copying data between systems. Follow-ups getting forgotten. Reports taking hours. And sometimes, the most expensive problem is the one nobody notices: A customer reaches out after hours, nobody responds, and they go to a competitor. AI and automation can now handle a surprising amount of this. But I’m curious about something from people actually running businesses: What is the ONE process in your business you wish could just run itself? Drop it in the comments. Tell me what happens, how you're handling it today, and roughly how much time it takes. I’ll pick a few and share how I would automate them. Maybe your biggest headache has a surprisingly simple solution. 👀

Hey everyone! 👋 I'm Takeichi, an AI & Full-Stack Engineer based in Japan. I've spent the past 10+ years building production software, with the last several years focused on AI systems and automation. Most of my work has been around: - 🤖 AI Agents & Agentic Workflows - 🧠 LLM Applications & RAG Systems - ⚡ Workflow Automation - 🐍 Python (FastAPI, Flask), TypeScript/Node.js - ⚛️ React & Next.js - 🔗 API integrations and backend architecture - 👁️ Computer Vision & OCR I've built AI research agents, document intelligence platforms, multi-agent workflows, AI voice systems, and automation tools that integrate with third-party services and enterprise systems. I'm here to: - Learn from other builders - Share ideas and technical knowledge - Exchange AI automation workflows - Connect with people building real-world AI products Looking forward to meeting everyone! Feel free to say hi or reach out if you're working on AI agents, automation, or LLM-powered products. 🚀 Portfolio: https://contra.com/takeichi_inoue_65rexfis/about Email: inoue.takeichi@gmail.com Telegram: https://t.me/HustorAI WhatsApp: +81 80-9299-0062