• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
  • HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI
    AI

    Theo Critiques Analytics Tools on AI Integration

    Creator Theo Browne shares views on analytics products and AI adoption.

    T-
    1 Source, 32d ago, first seen 32d ago

    TLDR

    Theo Browne, the developer behind the T3 Stack and T3 Chat, posted on X about analytics products and artificial intelligence. He stated that most tools have failed to embrace the AI era. Browne described two common approaches: some ignore AI entirely while others try to build every AI feature directly into the product. He noted that several analytics companies are creating their own agent harnesses. The post offers no examples of successful implementations and positions the issue as an open challenge for the sector.

    Combined views

    87.9K

    1 Source, first seen 32d ago

    Combined views

    87.9K

    1 Source, first seen 32d ago

    1K likes
    1K likes
    118 comments
    343 saves
    21 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    118 comments
    343 saves
    21 reposts
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 Source

    @theoI feel like most analytics products have failed to figure out how to embrace the AI era. I'd put them in two buckets: 1. Ignoring AI entirely 2. Pretending all the AI features should be built into their product directly I know multiple analytics companies that are building their own agent harnesses, but I don't know of any with working Agent SDK traces. All I want is something that my agents can access the data from effectively, implement in my codebase effectively, and give me useful information about how people actually use my products and where the friction lives. Feels like a huge miss in the market. Maybe an opportunity for someone to come in with something better?

    1 Source

    @theoI feel like most analytics products have failed to figure out how to embrace the AI era. I'd put them in two buckets: 1. Ignoring AI entirely 2. Pretending all the AI features should be built into their product directly I know multiple analytics companies that are building their own agent harnesses, but I don't know of any with working Agent SDK traces. All I want is something that my agents can access the data from effectively, implement in my codebase effectively, and give me useful information about how people actually use my products and where the friction lives. Feels like a huge miss in the market. Maybe an opportunity for someone to come in with something better?