Claude Cowork 60 Minute MASTERCLASS
A complete zero-to-hero tutorial on Claude Desktop's agentic mode: five real use cases, three core primitives, and honest caveats about where it falls short.
April 9thA 12-minute build walkthrough: Zo Computer + Hermes agent + Brave Search = a free social listening bot that lives entirely in Telegram.
You can monitor, analyze, and post to X without paying for any infrastructure or social listening software by chaining a free cloud AI workspace, an open-source agent, and Brave Search into a single Telegram bot.
The video builds an X research and auto-posting bot that lives entirely inside Telegram. Zo Computer provides the cloud machine so nothing runs on your laptop; Hermes acts as the agent layer interpreting commands and calling tools; Brave Search with a site:x.com operator replaces the paid X API for the read side of the workflow. Send a topic to the Telegram bot and within minutes you receive a structured briefing covering themes, sentiment, key accounts, and notable posts. A second optional prompt adds OAuth-based X posting for roughly $0.015 per tweet.
Sign in and you get 23 free chat messages on us — ask for the hook, quote a framework, find the exact transcript moment, generate a markdown action plan. Bring your own key when you want unlimited.
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Introduces the OpenClaw-style agent concept, explains why a dedicated machine is no longer necessary, and previews the stack: Zo Computer + Hermes + Telegram.

Live walkthrough of the finished bot: send a topic via Telegram, receive a structured research report within minutes.

Download Zo Computer, install Hermes via terminal command, select AI provider (OpenRouter free tier), configure two key settings: AI model and Telegram integration.

Use BotFather to generate a bot token; use RawDataBot to retrieve your Telegram user ID; paste both into the Hermes setup wizard to complete the connection.

Paste Prompt 1 (free research layer via Brave Search, no X API key required). Test with a live query. Optionally paste Prompt 2 for X posting via OAuth 2.0 at ~$0.015/tweet.

Stack recap: Telegram (interface), Brave Search (discovery), Hermes (orchestration), AI (analysis). Closing CTA to join the Any No Code community.
Brave Search with a site:x.com operator returns public X posts without any API key — and chaining it to an AI agent turns raw search results into a formatted intelligence briefing.
“No more X API needed. No expensive social listening software. No communicator infrastructure anymore.”
“We would recommend that everyone start with the research layer first because, honestly, that's where most of the value comes from.”
“Imagine if this were your morning workflow — you could spend thirty seconds reading this report and immediately understand what's happening across the AI space without opening X once.”
“The data was always available. The barrier to understanding it just became dramatically smaller.”
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
The premise is deceptively simple: you want to know what people are saying on X about a topic, without paying for the X API, without subscribing to a social listening platform, and without keeping a dedicated computer online. This video makes the case that all three problems are already solved — and shows you how to wire the pieces together in about twelve minutes.
A paste-in Hermes prompt configuring a BraveSearch-based X research pipeline. No paid API keys. User sends topic via Telegram, Brave searches site:x.com, parser extracts URLs/handles/text, AI summarizes, formatted report delivered to Telegram.
A second paste-in prompt adding OAuth 2.0 X posting to the existing research workflow. Requires X developer credentials. Tokens rotate on every use. Cost ~$0.015/tweet.
The free research layer alone delivers roughly 80% of the system value. The paid posting layer is an optional add-on. Start with the free layer, add posting only when needed.
“if you want more in-depth tutorial like this and to actually make more money with AI, feel free to join our Any No Code community”
Soft sell at the very end after all content is delivered. Community link in description. Low friction, appropriate placement.
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12:01A complete zero-to-hero tutorial on Claude Desktop's agentic mode: five real use cases, three core primitives, and honest caveats about where it falls short.
April 9thA 14-minute tutorial on the three tiers of self-running Claude Code workflows — and why the creator of Claude Code stopped prompting it manually.
June 12thA 20-minute explainer that traces the lineage from ReAct to agent loops, names the three controls that prevent token blowouts, and gives three concrete loops anyone can run this week.
June 9thA 38-minute walkthrough of the eight ways Claude Opus 4's long-running agentic loop rewires how you delegate work.
June 10thFive concrete jobs one SaaS founder handed to an AI agent — and what changed when he did.
June 8thZapier's Automation Bench ran Claude Fable 5.0 against hundreds of realistic business workflows — here's what the numbers actually mean.
June 9th