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Insights, guides, and latest trends from the world of AI tools

Latest Blogs

  • AI for Oral History Projects: Transcription and Thematic Coding

    AI for Oral History Projects: Transcription and Thematic Coding

    Historians and journalists use AI to transcribe interviews and tag themes. Archival accuracy and consent workflow.

  • AI for Coral Reef Health: From Diver Photos to Policy Data

    AI for Coral Reef Health: From Diver Photos to Policy Data

    Computer vision on underwater photos tracks bleaching and species decline. How conservation groups use AI with diver validation.

  • AI for Extinct Languages: Decipherment Hype vs Scholarly Workflow

    AI for Extinct Languages: Decipherment Hype vs Scholarly Workflow

    AI assists epigraphers with Ugaritic, Linear A, and damaged manuscripts. Where models help and where scholarly consensus still rules.

  • AI Dream Interpreter Apps: Entertainment, Psychology, and Limits

    AI Dream Interpreter Apps: Entertainment, Psychology, and Limits

    Dream analysis apps use LLMs to generate symbolic readings. Why they feel convincing, what psychology says, and why they are not therapy.

  • AI for Board Game Design: Rules, Balance, and Playtest Notes

    AI for Board Game Design: Rules, Balance, and Playtest Notes

    Designers use AI to draft rules, simulate balance, and summarize playtest feedback. Workflow keeping creative authorship human.

  • AI for Museum Cataloging: Digitizing Collections at Scale

    AI for Museum Cataloging: Digitizing Collections at Scale

    Museums use AI for OCR, object tagging, and metadata enrichment. Workflow for curators with accuracy and bias review steps.

  • Can AI Do Science Autonomously? What 2026 Evidence Shows

    Can AI Do Science Autonomously? What 2026 Evidence Shows

    From MatBrain to AutoDiscovery to math swarms, AI touches the scientific method. A balanced look at what is automated vs what still needs humans.

  • AI Personas and Identity Fragmentation: One User, Many Selves

    AI Personas and Identity Fragmentation: One User, Many Selves

    Users maintain different AI personas for work, coding, and creative tasks. Why fragmentation happens and how to manage context across tools.

  • Vertical AI's Real TAM Is Labor, Not Software Budgets

    Vertical AI's Real TAM Is Labor, Not Software Budgets

    Sizing AI markets by software spend understates opportunity. Labor and services budgets explain why vertical AI can be huge in fragmented industries.

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