Category: AI

  • Report: How People Use AI at Work

    Report: How People Use AI at Work

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    by

    Dan Petrovic
    in

    Executive Summary: The 30-Second Takeaway In the tech world, we often talk about Artificial Intelligence in the future tense. We speculate on who it will replace and how it will reshape the economy. The reality is that the future has already arrived. It is quiet, uneven, and happening in offices, classrooms, workshops, and hospitals right…

  • How do people use AI assistants?

    How do people use AI assistants?

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    by

    Dan Petrovic
    in

    Carried by the inertia of “search query” mentality, AI SEO professionals often oversimplify how people interact with their AI assistants in chat sessions. Our analysis of ~1M real user chat sessions reveals a more complex picture. Key Findings The dataset contains 4.4 billion characters across 613 million words and 3.9 million conversation turns. The average…

  • Ricursive: The Most Interesting AI Company You Haven’t Heard Of

    Ricursive: The Most Interesting AI Company You Haven’t Heard Of

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    by

    Dan Petrovic
    in ,

    There’s a concept in AI that sounds like science fiction but is now being pursued seriously: recursive self-improvement. The idea is simple. Build an AI system that improves the hardware it runs on. Train a better AI on that improved hardware. Use that AI to design even better hardware. Repeat. This isn’t theoretical anymore. Two…

  • How much of your content survives the AI Search filter?

    How much of your content survives the AI Search filter?

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    by

    Dan Petrovic
    in , , ,

    But how much if your page content actually makes it to the model? About one third on average. Metric Value Total Characters Across All Pages 21,198 Total Characters Cited 6,818 Total Characters Not Cited 14,380 Overall Citation Coverage 32.16% Citation Analysis: owayo.com Source: owayo.com Citation Snippet Custom Running Shirts – owayo: owayo manufactures custom running…

  • Browsing vs Content Fetcher

    Browsing vs Content Fetcher

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    by

    Dan Petrovic
    in ,

    Google’s AI Mode has two modes of extracting information from the page: browsing and content_fetcher  The core difference lies in their input requirements and how they are intended to operate within a workflow. browsing takes a single URL as its primary input, while content_fetcher takes a list of structured SourceReference objects.  browsing (browse function) content_fetcher (fetch function) Summary of Differences Feature  browsing (browse) content_fetcher (fetch) Primary…

  • From Free-Text to Likert Distributions: A Practical Guide to SSR for Purchase Intent

    From Free-Text to Likert Distributions: A Practical Guide to SSR for Purchase Intent

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    by

    Dan Petrovic
    in , ,

    Instead of forcing LLMs to pick a number on a 1–5 scale, ask them to speak like a person and map the text to a Likert distribution via Semantic Similarity Rating (SSR). In benchmarks across 57 personal-care concept surveys (9.3k human responses), SSR reproduced human purchase intent signals with ~90% of human test–retest reliability and…

  • Claude System Internals

    Claude System Internals

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    by

    Dan Petrovic
    in

    Every time you chat with Claude, there’s a whole secret conversation happening that you never see. System prompts, token budgets, thinking blocks, and behavior rules shape every response. Here’s what’s really going on under the hood. Claude is literally told it gets “rewards” for following instructions. This is probably related to RLHF training. Following all…

  • CAPS: A Content Attribution Payment Scheme for the AI Era

    CAPS: A Content Attribution Payment Scheme for the AI Era

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    by

    Dan Petrovic
    in , ,

    The Problem: A Broken Content Ecosystem We’re watching the collapse of the web’s economic model in real-time, and everyone knows it. AI assistants have fundamentally changed how people consume information. Why wade through ten articles when Claude, ChatGPT, or Gemini can synthesize an answer in seconds? Why maintain 100 browser tabs for research when AI…

  • AI Search Citation Mining

    AI Search Citation Mining

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    by

    Dan Petrovic
    in ,

    This is the raw data dump from our citation mining pipeline demo on social media. Entered Entities ✅ AEO (10 prompts) ✅ AI Marketing (10 prompts) ✅ AI Optimization (10 prompts) ✅ AI SEO (10 prompts) ✅ AIO (10 prompts) ✅ Answer Engine Optimization (10 prompts) Mining Parameters Available Prompts: 60GPT-5 Citations: 141Gemini Citations: 400Total…

  • Using GPT-5 Structured Output Markers to Detect AI-Generated Content Online

    Using GPT-5 Structured Output Markers to Detect AI-Generated Content Online

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    by

    Dan Petrovic
    in ,

    When you populate your website with language model–generated text, you inherit a subtle but real risk: AI-specific artifacts may leak into the published content. These markers aren’t always obvious to human readers, but they can be highly visible to search engines, researchers, and competitors. One such artifact is the structured output marker that GPT-5 (and…