Anthropic: customer-support and coding agents with tool use and human oversight
At a glance
Anthropic’s Building Effective Agents appendix highlights two proven patterns—support agents that pull data and take actions like refunds, and coding agents that iterate against tests—with clear success metrics and human review. This workflow is listed under Claude, Support, Coding-Agents, Human-in-the-Loop, Agent-Orchestration.
Indie Hackers guide: Jotform intake → Zapier → Claude/ChatGPT triages priority and drafts a reply → a control form lets you edit → a second Zap finishes CRM/notify actions—only high-priority items pause for review.
Make’s Feb 2026 AI Agent docs list concrete agent scenarios—support ticket triage, sales outreach, content marketing, market research, candidate screening, SEO reports—plus when to use agents vs fixed scenarios.
Official n8n AI example: a chat agent answers with GPT-4; if unsure it calls a sub-workflow that asks for the user's email and posts the unanswered question to a Slack support channel.
An indie hacker packaged an agency's eight repeated workflows (briefs, client approval with revision counters, quotes with margin checks, content calendars, post-mortems) as free MIT Claude skills.