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David Shapiro discusses predictions for agent swarms and multi-agent systems, arguing autonomous AI agents will increasingly coordinate work across businesses using protocols like MCP and Google's new UCP for commerce. He describes a future 'fully autonomous industrial substrate' where AI agents an…
Visit originalDaniel Miessler argues that AI's future is predictable because human goals — safety, thriving, and social connection — are predictable. He lays out seven expected developments: personal digital assistants with deep data access, standardized APIs for people and businesses, assistant-mediated interac…
Visit originalThis Medium article argues that AI agents have moved beyond simple chatbots into autonomous systems capable of observing, deciding, and acting on business tasks without repeated prompting. It cites Klarna and Salesforce examples of AI agents handling large volumes of customer service work, emphasiz…
Visit originalThis VentureBeat article reports that Salesforce added 6,000 new Agentforce customers in a single quarter, reaching 18,500 enterprise customers and over $540 million in annual recurring revenue. It argues this growth demonstrates real enterprise ROI from AI agents, highlighting trust, security, and…
Visit originalThis Substack newsletter by Jamin Ball argues that as AI agents become the primary interface for enterprise software, systems of record like Salesforce and Workday may retain data authority but lose the customer-facing "front door," drawing an analogy to how online travel agencies displaced legacy …
Visit originalThis YouTube video is a detailed walkthrough of Daniel Miessler's open-source Personal AI Infrastructure (PAI v2.0), covering why he built it, its core principles, and live examples of its capabilities. It discusses prompting and scaffolding design, custom skills and history, command-line workflows…
Visit originalThis GitHub README describes the Personal_AI_Infrastructure (PAI) project by Daniel Miessler, billed as a "Life Operating System" built on Claude Code for augmenting human capability with agentic AI. It explains core concepts like the PAI layer, the Pulse dashboard, the Digital Assistant (DA), file…
Visit originalThis Substack newsletter by Jamin Ball argues that enterprise "systems of record" (CRM, ERP, billing, warehouses) aren't dying but are being unbundled and rewired as AI agents increasingly read and write data across them. It explains why agents need canonical sources of truth, semantic contracts, a…
Visit originalContent behind a login wall / unavailable — inferred from link context: this Medium article claims Perplexity released 10 free AI agents capable of automating entire job tasks via a feature nicknamed the 'Comet shortcut,' likely referring to Perplexity's Comet browser and its agentic AI capabilitie…
Visit originalThis Hugging Face paper page introduces StockBench, a contamination-free benchmark evaluating large language model agents on realistic, multi-month stock trading tasks using daily prices, fundamentals, and news. It reports that most tested models struggle to beat a simple buy-and-hold strategy, tho…
Visit originalThis Verge article reports that Google is rolling out a Search feature letting Gemini call local businesses on a user's behalf to ask about pricing and availability, initially for services like pet groomers and auto repair shops. It collects details on service type and timing before sending updates…
Visit originalThis article reports that Johns Hopkins University researchers trained an autonomous surgical robot called SRT-H (Surgical Robot Transformer-Hierarchy) to perform gallbladder removal surgery. The robot analyzed surgical videos, responded to voice commands, and adapted in real time during trials on …
Visit originalThis is Google Cloud's product page for the Gemini Enterprise Agent Platform, formerly Vertex AI, a platform for building, scaling, and governing enterprise AI agents and ML workflows. It highlights tools like Agent Studio, the Agent Development Kit (ADK), model tuning, evaluation, notebooks, and v…
Visit originalThis YouTube video (Greg Isenberg with Ras Mic) explains the Model Context Protocol (MCP), a standard that lets LLMs connect to external tools and services through a unified communication layer. It describes the evolution of LLMs from basic text prediction to tool-augmented systems, and breaks down…
Visit originalThis LangChain blog post explains 'context engineering' as building dynamic systems that give LLMs the right information, tools, and formatting to reliably complete tasks. It argues many agent failures stem from missing or poorly formatted context rather than model weakness, contrasting context eng…
Visit originalThis YouTube video (Wes Roth) covers the launch of Manus, described as China's first general AI agent, an autonomous system that can research, write biographies, build websites, rank resumes, and handle multi-step tasks in the cloud. It discusses Manus's use of command-line tools and multi-agent wo…
Visit originalThis YouTube video reviews Manus, a Chinese AI agent launched in March 2025, demonstrating its browser-control capabilities for research, travel itineraries, stock analysis, SEO, and scheduling. It compares Manus with ChatGPT Operator and Perplexity AI, highlighting its ability to browse websites, …
Visit originalThis is the Apple App Store listing for Claude by Anthropic, described as an AI assistant for life and work and an advanced model for coding, research, and complex tasks. It includes user reviews describing features such as accessibility support, reliability, and adaptive research assistance. The p…
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