User
Write something
Pinned
Sales ops agent for Discord
Hey beautiful people of AI for Life :) Working with a coaching client who has a small team of closers. After every call they drop the result into Discord: who closed, what offer, PIF or payment plan, dates. Then someone sits down and manually transfers all of that into spreadsheets, calculates commissions, tracks when payment plans end. A few hours every month. Building an agent that reads those Discord messages, parses them, fills the trackers automatically, runs the calculations, and sends alerts before a payment plan ends. Conversational too, so they can ask things like "how's the month going" or "what do I owe this closer." Anyone here dealt with this kind of ops overhead in a coaching business, or built something to handle it? I don't trust much my Claude when suggesting the tech stack 😆 Any suggestion from you? And how would I price something like this in your opinion? 🙏🏻
Pinned
Introducing Claude Opus 4.8
Opus 4.8 dropped this morning. Spent some time with the notes. Here's what actually changes day-to-day if you live in Claude Code. Longer independent work This is the one I care about most. Hand off a feature, a migration, or a bug sweep and Claude follows the thread through to completion. Sessions can be scoped bigger. Fewer handoffs, less context reloading. Parallel subagents with self-verification (research preview) Claude can spin up hundreds of subagents in one session and verify its own work before reporting back. I already run a critic pattern on most builds (draft, red-team, polish). Having that behavior native means less prompt scaffolding for the same outcome. Fast mode (research preview) Same model, roughly 2.5x speed, 3x cheaper than before. This changes the economics. Batch jobs I would have skipped on cost or time now make sense. Session summarization, repo scans, content batch runs. All in play. Effort control on claude.ai A knob for how much thinking goes into a response. Useful when you know the task is heavy or light and want to control the trade. Same price for the base model. Live today on claude.ai, the platform, and the major clouds. What I'm testing first: a multi-file refactor in one session to see how far it gets before I have to step in. Will report what I find.
Introducing Claude Opus 4.8
Pinned
Anthropic Claude Code Security Updates
Announced at Code with Claude London, May 19-20, 2026 ================================================================ SELF-HOSTED SANDBOX (PUBLIC BETA) Claude Managed Agents can now run tool execution inside your own infrastructure instead of Anthropic-managed containers. Orchestration stays on Anthropic's side, but code, filesystem, and network egress stay in your environment. Works with Cloudflare, Daytona, Modal, or Vercel as managed providers. Built for orgs with data-residency, compliance, or internal-service- access requirements. ================================================================ SECURITY-GUIDANCE PLUGIN (FREE, ALL PLANS) Scans every file edit in real time for risky patterns like eval, innerHTML, command injection, and XSS. Acts as a pre-write validation hook that blocks unsafe writes. Powered by Opus 4.7 by default. Install via: /plugin install security-guidance Anthropic's internal testing showed 30-40% reduction in security- related PR comments. Catches roughly 25 dangerous patterns via regex matching, so it handles low-hanging fruit, not semantic analysis. ================================================================ CONTEXT Part of a broader security push. - Anthropic's Mythos model recently flagged 23,000+ potential vulnerabilities across 1,000+ OSS projects. - Enterprise integrations expanded to 28 security and compliance platforms. - Two Claude Code sandbox vulnerabilities (privilege escalation, network bypass) were patched in recent months, which explains the demand. ================================================================
Anthropic Claude Code Security Updates
Excited to be here!
Hey everyone! I'm so excited to be here. I know some of you from other places and have been a fan of Matthew and his generous sharing of his expertise in the world of AI. As I continue to grow and evolve and learn in this space, I want to be around thought leaders and others who are as deeply and genuinely invested in adopting and teaching this new technology as I am. Looking forward to learning, connecting, and collaborating in here
A real on-ramp for shipping your first Claude agent just landed
Cloudflare and Anthropic announced a joint integration this week called Claude Managed Agents on Cloudflare. Here is what actually changed for anyone in this community who has been trying to get an agent from "demo working on my laptop" to "running in my business." THE PRACTICAL CHANGE Before this, if you used Claude Managed Agents (Anthropic's hosted agent setup), the whole stack lived on Anthropic's infrastructure. The agent's brain and the agent's hands were in the same place. Now you can split them. Claude still does the reasoning. Cloudflare runs the code execution, holds the credentials, connects to your private systems, and keeps the logs. For an operator, that means your time goes to the prompts and the workflow logic (the part that actually compounds). The plumbing is solved. No spinning up your own VM, no hand-rolling how to pass API keys safely, no building your own logging layer to see what the agent actually did. A WORKED EXAMPLE: CUSTOMER FOLLOW-UP Say you want an agent that reads new signups from your CRM, pulls public context on the person, drafts a personalized follow-up email in your voice, and queues it for your final approval before sending. Before this, you had two choices: 1. Build the whole thing on a generic VM and wire up auth, logging, and error handling yourself. 2. Use Claude Managed Agents and lose the ability to plug into your private CRM. After this, Claude runs the reasoning loop. The agent uses Cloudflare's Workers VPC to reach your CRM without putting it on the public internet. Cloudflare injects credentials so the agent never sees them directly. You get a full audit trail of what the agent did, when it did it, and what it returned. You still write the prompts. You still own the agent logic. The plumbing just got solved for you. WHAT THIS DOES NOT SOLVE A few honest things. Your inputs still need to be clean. Messy CRM data produces messy follow-ups. Clean infrastructure cannot fix a bad workflow. You still need a real use case. "I want an agent" is a wish. "I lose two hours every Monday writing the same follow-up emails" is a use case. The second one is buildable.
A real on-ramp for shipping your first Claude agent just landed
1-30 of 150
powered by
AI for Life
skool.com/ai-for-life-3967
Practical AI training for work and life. Hands-on lessons with Claude,
ChatGPT, and automation tools. Built for people ready to use AI.
Build your own community
Bring people together around your passion and get paid.
Powered by