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A Twitter thread laying out concrete steps to build a working AI agent from scratch, skipping theory and focusing on actual implementation you can follow in sequence.
- Provides a step-by-step guide designed for beginners with no prior agent-building experience
- Emphasizes practical, hands-on instructions rather than conceptual background
- Aims to produce a functional agent that operates independently without constant user intervention
A San Francisco shop is operated almost entirely by a central AI agent that manages checkout, inventory and security. The Times examines how the system handles everyday tasks, misidentifies items and prompts privacy concerns. It shows both the promise and real-world glitches of automating retail with AI.
- Shelf.AI's cashier-less store cut labor costs 60% by using an AI agent ("Mia") to handle pricing, inventory, and theft prevention across cameras, weight sensors, and LIDAR
- 7% of opening-day transactions undercharged customers due to glitches, fixed within 48 hours—showing the tech isn't yet flawless
- Privacy concerns persist over constant surveillance, despite Shelf.AI's claims of discarding raw footage after 24 hours and encrypting data
- Early financials look promising ($45,000 weekly sales, break-even projected in 8 months), prompting other grocers to test similar AI systems
As the new year begins, the author reflects on a more active approach to cryptocurrency trading while maintaining a lean portfolio. Highlighting the AI Agent sector and upcoming protocols like x402 and ERC-8004, they present four low-cap tokens worth researching, emphasizing the potential for gains despite the overall market's risks.
- Author is shifting to more active trading in 2026 while still keeping the overall portfolio lean/concentrated
- AI Agent sector flagged as a key theme to watch, tied to emerging protocols x402 and ERC-8004
- Four specific low-cap tokens are named as worth researching for potential upside
- Acknowledges elevated risk in the broader market despite highlighting these opportunities