The AI Bubble and Autonomous Agents: Getting Started Without Code

ArticleMarina MogilkoOpinion

Marina Mogilko highlights the gap between the Silicon Valley AI bubble and real-world adoption, introducing a guide to building no-code agents in Claude or ChatGPT Projects, though the full tutorial is gated.

Key points

  1. Adoption gap: According to the author, 28% of people in the US use AI (ranking 24th globally), compared to 61% in Singapore and 64% in the UAE.
  2. Autonomous agents are not among the top ten most common AI use cases, which are led by emotional support, troubleshooting, and entertainment.
  3. The author argues that agents remain underused not because they are difficult, but because few people sit down to build one.
  4. The proposed no-code setup relies on Claude or ChatGPT Projects for recurring tasks, but the public preview cuts off before detailing steps 2 to 4.

Why it matters

The post highlights the perception gap between tech hubs and everyday AI utility, framing project-based chatbot configurations as accessible entry-level autonomous agents for routine workflows.

Analysis

The publicly visible portion of this newsletter is primarily an introductory hook. Mogilko cites adoption figures to argue that routine agent workflows are accessible to non-technical users. Because the actionable instructions are behind a subscription gate, the source only provides the conceptual premise rather than the full tutorial.

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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