I've been digging into the new Zapier Multi-Channel Protocol (MCP) docs. The biggest blocker for deploying vertical agents for clients like law firms or medspas has always been the insane fragmentation of their software stack. We'd spend weeks building one-off API integrations for their specific CRM or booking tool. 🚧 It was a huge development drag. Zapier's MCP basically functions as a universal adapter for tool-calling. Instead of coding dozens of specific functions, our agent can now call a single, standardized action, and Zapier handles the translation to one of its 6,000+ connected apps. 🧩 The operational result is immediate. We can build a core agent logic once and deploy it across clients with wildly different software, massively cutting down on custom integration code per project. ⚡ It expands an agent's potential action space by an order of magnitude without us writing a single new API connector. 📊 It's a shift from brittle, custom integrations to a more durable, abstracted action layer. 💡 Here’s the open question this creates for orchestration. When an MCP action fails deep inside Zapier's execution, how are you handling the error state and retry logic back in the agent's core loop?

Hey everyone, I’m working on building an AI automation/AI operating system offer for local businesses, including workflows, automations, and AI agents tailored to specific business use cases. My strength is on the front-end: communication, outreach, cold approaches, and getting in front of local businesses. I’m based in an area with access to a wide range of business niches, and I’m confident in my ability to start conversations and bring in opportunities. Where I’m looking for support is on the technical side. I understand the basics of workflows and automations, but I’d like to partner with someone who has stronger experience building, implementing, and delivering automation systems for real businesses. Ideally, I’m looking for someone who has a portfolio or proven examples of previous work and is open to teaming up: I focus on finding clients and managing relationships, while you help deliver the technical execution. If this sounds interesting, feel free to comment or message me. I have a game plan and approach in mind and would love to connect with the right person.

I’m currently looking for 1–2 strong AI automation engineers to work with on a part-time basis. The demand for custom AI systems and workflow automation has been growing fast, and I’m looking to build a small network of reliable technical partners I can work with long term. This is not a typical “freelance task” post. I’m looking for people who genuinely enjoy building: - AI agents - internal copilots - workflow automation - multi-agent systems - custom integrations - operational AI tools You’ll probably be a strong fit if you: - spend more time building than talking - are comfortable working inside Claude Code / AI-native workflows - can build beyond no-code templates - understand APIs, orchestration, memory, context handling, and automation logic - care about shipping clean, practical systems What I handle: - client acquisition - project scoping - communication and delivery management - filtering bad-fit projects before they reach you What I’m looking for: - builders with real shipped work - strong ownership and communication - fast execution - honest problem-solving mindset - someone interested in an actual long-term working relationship Role details: - Part-time - Monday–Friday - Around 3–4 hours per day - $30–40/hour depending on experience and capability If you’ve built something you’re proud of, send it over. GitHub, Loom walkthroughs, architecture screenshots, demos, terminal setups — anything real helps. Feel free to DM directly.

Hey everyone 👋 I'm building something I wish existed when I was debugging training runs — an AI agent that automatically detects and explains anomalies in LLM/ML training. Things like: • Gradient vanishing in specific layers • Attention head collapse • MLP activation drift ...and instead of just flagging a number, it traces the root cause and suggests fixes. Like having a senior ML engineer watching your run 24/7. I'm still in early validation — no product yet, just a working prototype and a lot of conviction. Looking for 10 ML engineers to give me 15 minutes of honest feedback. In exchange: free lifetime access when it launches + your name in the credits. If debugging training runs has ever cost you hours (or days), I'd love to talk. Drop a comment or DM me directly.

Hi guys. I'm making a software and im curious about how can prompt ai to make designs that dont feel ai. Do you know any prompt, skill, or anything else? I read you