19 minutesEvery AI Model Explained
Compare flagship, lite, mid-tier and specialized models so routing decisions are based on task fit, cost and latency instead of brand preference.
OpenAI. The actual launch demo of Operator, where the team books restaurants, orders groceries, buys event tickets, and lets Operator stall on a redirect or hand control back when it hits a login. It is the clearest picture you will find of how a browser agent feels in practice — the screenshot-and-click loop, the confirmations before "stateful" actions, the prompt-injection guard rails — which is exactly the texture the article is trying to set expectations for.
Product names and availability may change. Operator as a standalone product was folded into ChatGPT's agent mode in 2025 — watch this for the interaction patterns, not the product. The durable lesson is the control model: narrow tasks, visible state, confirmations, takeover paths and prompt-injection defenses.
Recognize the browser-agent action loop, where it helps, and where human confirmation is still required.
Basic understanding of agents and why live web tasks are harder than text generation.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
19 minutesCompare flagship, lite, mid-tier and specialized models so routing decisions are based on task fit, cost and latency instead of brand preference.
107 minutesLearn the product-builder eval loop: inspect traces, label failures, define criteria, test changes and compare against human judgment.
211 minutesUnderstand the modern LLM stack well enough to reason about tokens, training, tools and failures.
Hand-picked external courses that go deeper on this topic.
Anthropic Academy
MCP is the protocol that's quietly replacing one-off tool integrations across the AI tooling ecosystem. Learn it from the source. By the end you'll have built and deployed your own MCP server, connected an LLM client to it, and understood why this standard is the closest thing the field has to USB-C.
João Moura (Founder, CrewAI)
Doubles as our sales and customer-support vertical pick and a genuinely practical agent-building course: you build an agentic sales pipeline (lead scoring, personalized outreach) and a customer-support data-insights pipeline as two of the five hands-on projects, taught by CrewAI's own founder. Requires basic Python, so it sits with our other builder-track courses rather than the no-code picks.
Hugging Face
The clearest open-source treatment of agentic systems available. Anchored in the three frameworks engineers actually evaluate (smolagents, LlamaIndex, LangGraph) rather than one vendor's stack. Concludes with a benchmark assignment and public leaderboard — accountability your team can verify.