AI Agents Meet Their Human Mirror in ChatTJB
AI agents are usually software, but ChatTJB puts a human behind the prompt box and exposes how trust, convenience, and cognitive surrender shape chatbot behavior.
Insights and perspectives on AI technology and business
AI agents are usually software, but ChatTJB puts a human behind the prompt box and exposes how trust, convenience, and cognitive surrender shape chatbot behavior.
AI agent development is shifting from one-shot prompts to repository-aware test generation. Microsoft’s code-testing-generator posts 92.1% task completion while keeping code local.
Marketing analytics AI with Google Meridian shows how Bayesian MMM can turn channel data, uncertainty, and marginal ROI into better budget decisions.
AI automation agents are shifting from task bots to discovery loops as Discovery Loop bets on systems that can run experiments, evaluate results, and improve over time.
AI integration architecture matters when text parsing fails. Pixel-native RAG preserves layout, adds OCR fusion, and clarifies when visual retrieval beats text-first search.
AI for media reached the WSOP broadcast with ESPN’s tells overlay, raising fresh questions about model accuracy, editorial judgment, and audience trust in live sports.
AI data visualization is entering a new phase as XY brings 100 million-point interactivity to Python. Here is how teams should assess fit, benchmark claims, and pilot it safely.
custom AI agents are moving beyond single-user chatbots. Y Combinator’s QM release points to shared agent workspaces with isolated memory, Slack workflows, and cloud deployment trade-offs.
AI integration services buyers now have a new open-source option to evaluate: GenOffice, a free, ad-free AI office suite for macOS and Windows.
AI model evaluation gets more practical in this PerceptionBench workflow, showing how to load multimodal data, judge outputs automatically, and compare models by capability rather than one average score.
Secure AI deployment is now a production discipline: agents, MCP servers, and LLM apps need continuous discovery, scoped permissions, and runtime guardrails.
Robotics AI policy now has a real price tag: the FTC’s ban on foreign robots could protect U.S. suppliers while sharply raising R&D and deployment costs.
AI for e-commerce is moving toward reasoning-based search as Onton’s Ontology 1 shows why messy shopper queries need better product data, trust signals, and integration design.
Insights and perspectives on AI technology and business
AI agents are usually software, but ChatTJB puts a human behind the prompt box and exposes how trust, convenience, and cognitive surrender shape chatbot behavior.
AI agent development is shifting from one-shot prompts to repository-aware test generation. Microsoft’s code-testing-generator posts 92.1% task completion while keeping code local.
Marketing analytics AI with Google Meridian shows how Bayesian MMM can turn channel data, uncertainty, and marginal ROI into better budget decisions.
AI automation agents are shifting from task bots to discovery loops as Discovery Loop bets on systems that can run experiments, evaluate results, and improve over time.
AI integration architecture matters when text parsing fails. Pixel-native RAG preserves layout, adds OCR fusion, and clarifies when visual retrieval beats text-first search.
AI for media reached the WSOP broadcast with ESPN’s tells overlay, raising fresh questions about model accuracy, editorial judgment, and audience trust in live sports.
AI data visualization is entering a new phase as XY brings 100 million-point interactivity to Python. Here is how teams should assess fit, benchmark claims, and pilot it safely.
custom AI agents are moving beyond single-user chatbots. Y Combinator’s QM release points to shared agent workspaces with isolated memory, Slack workflows, and cloud deployment trade-offs.
AI integration services buyers now have a new open-source option to evaluate: GenOffice, a free, ad-free AI office suite for macOS and Windows.
AI model evaluation gets more practical in this PerceptionBench workflow, showing how to load multimodal data, judge outputs automatically, and compare models by capability rather than one average score.
Secure AI deployment is now a production discipline: agents, MCP servers, and LLM apps need continuous discovery, scoped permissions, and runtime guardrails.
Robotics AI policy now has a real price tag: the FTC’s ban on foreign robots could protect U.S. suppliers while sharply raising R&D and deployment costs.
AI for e-commerce is moving toward reasoning-based search as Onton’s Ontology 1 shows why messy shopper queries need better product data, trust signals, and integration design.