No-Code Agentist

1/ Claude just shipped something that actually moves the needle on agentic AI for real teams: Claude Tag. Not another chat interface. Not a new model drop. A production-grade, multiplayer AI teammate that lives inside Slack with its own identity, persistent context, and scoped tool access. Internally at Anthropic, their version already writes 65% of the product team’s code. Here’s why this architecture is a bigger deal than most people realize. Thread 👇 2/ Claude Tag turns Claude into a first-class Slack participant. You connect it to specific channels + tools (GitHub, data warehouses, internal APIs, etc.). Then anyone in the channel can @Claude and delegate real work. It doesn’t borrow your credentials. It operates under its own agent identity — service accounts with least-privilege, channel-scoped permissions. This is the core technical innovation that makes safe, autonomous team AI possible. 3/ Task execution is properly agentic: You tag it with something like: “Investigate the p99 latency regression in checkout, find the root cause, and open a draft PR with the fix.” Claude then: • Decomposes the task into stages • Orchestrates the tools it has access to (logs, metrics, code search, Git) • Posts progress + artifacts back into the same Slack thread • Can create/merge PRs, run analyses, or even handle incident response And it does this asynchronously — over hours or days if needed. You delegate and keep working. 4/ The multiplayer + persistent context layer is where it gets really powerful. Unlike 1:1 AI chats (where context dies the moment you close the tab), Claude Tag gives you: • One Claude instance per channel, visible to the entire team • Cumulative, channel-specific memory that grows over time • Anyone can jump into the thread and continue exactly where the last person (or Claude) left off No more “as discussed last week…” or re-pasting the same architecture docs every time a new person joins the conversation. 5/ Ambient/proactive behavior takes it to the next level. When you turn ambient mode on, Claude doesn’t just sit there waiting to be tagged. It: • Monitors threads that have gone quiet and follows up • Surfaces relevant signals from across its connected channels and tools • Flags things that need attention before you even ask This is real event-driven agent behavior inside your existing communication layer — not a separate dashboard you have to check. 6/ The security model is what actually makes this enterprise-ready (and why the “agent identity” concept matters). Memories are compartmentalized per channel. What Claude learns in #eng-infra stays in #eng-infra. Sales data never leaks into engineering channels. It uses service accounts instead of proxying individual user credentials. Admins get: • Per-channel tool scoping • RBAC on who can even invoke it • Full audit logs of every action and memory write • Instant revocation across all connected systems This is the first time I’ve seen an AI agent system designed from the ground up for compartmentalized, auditable autonomy at team scale. 7/ Real usage patterns already emerging: • Engineering: PR writing, code review, incident investigation, root-cause analysis • Product + Data: chasing metrics, running analyses, summarizing experiments • Support/ops: ticket triaging and resolution workflows Because it’s embedded in Slack + has persistent shared context, it removes the biggest friction in human-AI collaboration today: context loss and repetitive onboarding of the AI. 8/ This is the practical shift from “AI you talk to in a separate window” to “AI colleague that actually participates in the team’s shared workspace.” It solves real coordination problems (async handoff, context accumulation, cross-functional visibility) while keeping enterprise controls tight. If you’re on Claude Team or Enterprise, the beta is live on Slack right now. #ClaudeTag #AgenticAI #AIinSlack #FutureOfWork

Teach Hermes once. Let it reuse the workflow forever.🧠 The new skills system lets you point Hermes at real workflows, docs, or directories and have it author and manage reusable skills itself, while you stay in control of when they load, what they can touch, and how updates land. • Use /learn on local code, online docs, or a conversation you just had to auto‑generate SKILL.md files that follow house standards, with no manual authoring. • Load skills progressively so the agent only pulls full content when it actually needs it, keeping prompts lean and token use efficient. • Scope skills to platforms, toolsets, and even specific tools, and define fallbacks so local or free skills appear only when premium stacks are missing. • Declare required environment variables and non‑secret config in skill metadata so Hermes can securely prompt for setup and pass values into sandboxes. • Organize skills in a single directory plus optional external trees, and group them into bundles you can trigger with one slash command for recurring tasks. • Let the agent create, patch, and extend its own skills via managed writes, with optional human approval gates and security scanning, and browse or install community and official skills through the Skills Hub when you need a new capability.

People think building AI agents in n8n is hard. Reality: one prompt builds an entire agent for you. No need to learn complex workflows or spend hours on setup. Just give ChatGPT the following prompt. It handles the entire agent creation process in minutes. Here's exactly how to use it step by step: [bookmark 🔖 this post for later] The process: 1. Open ChatGPT 2. Paste in one mega prompt 3. Describe the agent’s purpose 4. GPT delivers: ↳ Workflow structure ↳ n8n nodes ↳ Trigger setup ↳ LLM integration ↳ Error handling ↳ Ready-to-use code 5. Implement the steps in n8n. And you’re done. Here's the mega prompt (copy it): - - - prompt starts below this line - - - <role> You are an experienced automation architect with advanced knowledge of building AI-powered agents in n8n. You have deep expertise in automation flows, activation triggers, third-party APIs, GPT connections, custom JavaScript logic, and error handling. </role> <task> Walk me through, step by step, how to create an AI-powered agent in n8n. The agent’s purpose is: {$AGENT_PURPOSE} </task> <requirements> 1. Begin by defining the agent's objectives and necessary inputs/outputs. 2. Create the overall architecture for the agent workflow. 3. Suggest the required n8n nodes to include (built-in, HTTP, function, OpenAI, etc.). 4. Explain how to configure each node and why it’s needed. 5. Provide instructions for any custom logic (JavaScript functions, expressions, etc). 6. Help me implement retry logic, error handling, and backup procedures. 7. Show how to store and access data between runs (e.g., with Memory, Databases, or Google Sheets). 8. When the agent requires external APIs or services, explain the connection and authentication process. </requirements> <output_style> Be exceptionally clear and practical, as if coaching a beginner automation developer. Use visual formats if possible (e.g., structured lists, flow-style layout), and always provide ready-to-implement node configurations or code examples. </output_style> <expandability> Conclude by recommending ways to increase the agent's capabilities, such as workflow chaining, webhook integration, or connections to vector databases, CRMs, or Slack. </expandability> - - - prompt ends above this line - - - I used this to create: ✓ A Reddit, Claude, Telegram content curator ✓ A prospect qualifier that evaluates and directs incoming leads ✓ An automated email assistant that analyzes messages + creates replies All driven by Claude + n8n. - No Zapier. - No LangChain. - No complex frameworks. Why this approach works: → GPT acts like a senior engineer, designing the agent end-to-end → n8n gives you complete flexibility (logic, memory, APIs, webhooks) → Claude or ChatGPT handles reasoning and decision-making It’s the simplest way to launch real AI agents today. 📌 Get Advanced ChatGPT Guide (free): https://t.co/kOBWfKrBaX 👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others learn AI

🚨 BOUNTY ALERT: Build a Slack agent, win a slice of $42,000 💰 Salesforce and Slack have opened the Slack Agent Builder Challenge, and this one is built for everyone from total beginners to seasoned pros. If you have ever wanted to ship an AI agent that actually lives where people work, this is it. 🏢 Host: Salesforce / Slack 💵 Prize pool: $42,000 USD ⏳ Deadline: 13 July 2026, 5:00pm PDT (roughly 20 days left) 🏷️ Beginner-friendly, Enterprise, Low/No Code 👥 2,200+ builders already registered The idea: Build an intelligent agent inside Slack that automates workflows, surfaces real-time insights, or connects systems in new ways. You only need to use at least ONE of these technologies: Slack AI capabilities MCP server integration The Real-Time Search (RTS) API The on-ramp is genuinely quick. You can use the Slack create agent command plus ready-made templates for HR, IT, and Sales to go from idea to a running agent in a single afternoon. Three tracks to enter: • New Slack Agent: build something fresh that automates or connects systems • Slack Agent for Good: tackle a real social impact problem (accessibility, education, public health, sustainability, nonprofit ops) • Slack Agent for Organisations: ship a new agent to the Slack Marketplace, or significantly upgrade an existing Marketplace app 🏆 How the money breaks down: • 1st place in each of the 3 tracks: $8,000 each • 2nd place in each track: $4,000 each • Best UX: $2,000 • Most Innovative Slack Agent: $2,000 • Best Technological Implementation: $2,000 🎁 Beyond the cash, winners can bag a Slack Developer Certification voucher, a ticket to Dreamforce 2026, Slack swag, an invite to an exclusive community gathering, and features across the Slack developer newsletter, website, and social channels. 📦 What you submit: • Your chosen track • A text description of features and functionality • A demo video (around 3 minutes) showing the project working • An architecture diagram • A URL to your Slack developer sandbox (with access granted to the listed judges) • For the Organisations track, your Slack App ID proving Marketplace submission ⚖️ Judging is based on technical implementation, design, potential impact, and quality of the idea. So a clean build with a sharp, original concept goes a long way. Note: you must be 18+ and based in an eligible country. Check the full rules before you start building. 🔗 Enter here: https://t.co/2cplhB93HR This is one of the friendlier enterprise bounties out there right now, with multiple tracks and several smaller prizes, which means more chances to actually win something. Twenty days is plenty if you start this week. ♻️ RT to help another builder catch this one, and follow @unnamedcodes for more bounties, hackathons, and paid build opportunities like this.