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4One Useful Thing (Ethan Mollick)·1mo ago

An Opinionated Guide to Using AI Right Now

A tier-2 commentary piece from One Useful Thing offering opinionated guidance on which AI tools to use in late 2025. The piece likely surveys the current landscape of frontier models and recommends specific tools for specific tasks. As a practitioner-facing guide, it reflects the state of the AI tooling ecosystem as perceived by an influential commentator.

Related guides (2)

Related events (8)

4One Useful Thing·1mo ago·source ↗

A Guide to Which AI to Use in the Agentic Era

A tier-2 commentary piece from One Useful Thing offering guidance on selecting AI systems in the current agentic era, signaling a shift in framing from chatbots to agents as the primary use-case paradigm. The piece appears to survey the landscape of available AI tools and their appropriate applications. As a practitioner-oriented guide, it reflects the growing complexity of the AI tooling ecosystem as agentic capabilities proliferate.

4One Useful Thing·1mo ago·source ↗

The Shape of the Thing: Where We Are and What Likely Happens Next

A commentary piece from One Useful Thing assessing the current state of AI development and projecting near-term trajectories. The piece appears to offer a high-level synthesis of where the field stands and what developments are likely to follow. As a Tier 2 source, this represents informed commentary rather than primary research or announcements.

4One Useful Thing·1mo ago·source ↗

Real AI Agents and Real Work

A commentary piece from One Useful Thing examining the practical deployment of AI agents in real work contexts, framing the tension between human-centered work and AI-generated productivity outputs. The piece appears to analyze how autonomous AI agents are changing knowledge work workflows. Published by a Tier 2 source known for applied AI analysis aimed at practitioners and researchers.

3One Useful Thing·1mo ago·source ↗

Making AI Work: Leadership, Lab, and Crowd

This commentary from One Useful Thing proposes a framework for organizational AI adoption centered on three elements: leadership commitment, structured experimentation (lab), and distributed employee engagement (crowd). The piece offers practical guidance for companies navigating AI integration. As a tier-2 commentary source, it reflects practitioner thinking on enterprise AI deployment patterns rather than reporting new technical developments.

3One Useful Thing·1mo ago·source ↗

On Working with Wizards

A commentary piece from One Useful Thing exploring the metaphor of AI systems as 'wizards' and the challenge of working with them on the 'jagged frontier' of capabilities. The piece likely addresses how users can effectively verify and leverage AI outputs given the uneven and unpredictable nature of current model capabilities. As a tier-2 commentary source, it offers practitioner-level perspective on human-AI collaboration patterns.

4One Useful Thing·1mo ago·source ↗

Giving your AI a Job Interview

This commentary piece argues that as AI-generated advice becomes more consequential, users need systematic methods to evaluate AI reliability and quality—analogous to a job interview process. The author proposes frameworks for assessing AI outputs before trusting them for important decisions. The piece addresses the practical challenge of calibrating trust in AI systems across different use cases.

4One Useful Thing·1mo ago·source ↗

Sign of the Future: GPT-5.5 Commentary

A tier-2 commentary piece from One Useful Thing discusses GPT-5.5 as a notable step in the AI capability curve. The piece frames the release as a signal of future AI development trajectories. As a commentary source, it likely offers analysis of what GPT-5.5's capabilities imply rather than primary technical reporting.

4Ai Snake Oil·1mo ago·source ↗

AI companies are pivoting from creating gods to building products. Good.

This commentary argues that AI companies are shifting strategic focus from pursuing AGI-level capabilities toward building practical, deployable products. The piece identifies five key challenges that arise when converting raw models into market-ready products. Published on a Tier 2 source, it reflects a broader industry narrative about the maturation of AI commercialization strategies.