AI and useful tools

Channels that cut through AI noise: agents, models, and workflows you can actually use to build and think — not just announce the next model.

10 published listings

Conference-style AI engineering talks — practitioners presenting agent systems, tooling, and production lessons.

Useful for: Engineers who want conference-depth talks rather than daily news.

Daily AI news and strategy commentary focused on how model and product changes affect real work — less launch hype, more “what does this change?”.

Useful for: People who need AI updates framed as decisions, not spectacle.

Hands-on AI workflow channel with heavy coverage of Claude, agents, and practical coding/automation setups.

Useful for: Builders experimenting with agentic Claude workflows.

Agentic engineering and AI coding workflow channel — practical sessions on building with modern agent tools.

Useful for: Developers refining an agentic coding practice.

Product and indie-business oriented AI channel — opportunities, app ideas, and founder-facing commentary on the AI stack.

Useful for: Builders thinking about AI products and solo businesses.

Broad AI product and demo channel covering new models, tools, and notable releases across the ecosystem.

Useful for: General AI watchers who want fast product-level coverage.

AI automation tutorials aimed at building and selling workflows — practical build videos for non-traditional and technical builders alike.

Useful for: People automating work with AI rather than only chatting with models.

Technical channel on prompts, agents, and model behaviour — oriented toward builders who care how systems fail and how to harden them.

Useful for: Engineers who want agent design insight beyond tip lists.

Hands-on AI demos and explainers — models, agent harnesses, and applied experiments presented in a technical demo style.

Useful for: Practitioners who learn by watching someone run the thing.

AI tools roundup channel covering new models, repos, and product launches — fast survey-style videos for keeping a map of the landscape.

Useful for: Builders who want a high-signal skim of what is newly usable in AI tooling.