Meta Platforms has completed the acqui-hire of Dreamer, the AI agent startup founded by industry veterans Hugo Barra, David Singleton, and Nicholas Jitkoff. The entire Dreamer team has joined Meta Superintelligence Labs under Chief AI Officer Alexandr Wang to accelerate the company's AI agent ambitions. Dreamer had launched earlier in 2026 with a revolutionary operating system for AI agents, enabling users to discover, build, and deploy personalized AI assistants without coding. The acquisition marks Meta's second major move in the AI agent space this March, following the Moltbook acquisition earlier in the month.

MuleRun officially launched on March 16, 2026 as the world's first self-evolving personal AI, securing the #1 spot on Product Hunt's weekly leaderboard. The platform combines a dedicated 24/7 cloud virtual machine, zero-deployment setup, and continuous learning capabilities to deliver a truly autonomous AI assistant that works while users sleep and gets smarter with every task completed. Unlike OpenClaw (nicknamed "Lobster"), MuleRun requires no technical configuration—users simply create an account and immediately gain access to their personal AI. The platform features an AI Agent Marketplace with over 180 specialized agents, a Creator Studio for building custom agents without coding, and flexible credit-based pricing that makes sophisticated AI automation accessible to non-technical users for the first time.

Meta has acquired Moltbook, a viral social network designed specifically for AI agents rather than humans. The acquisition brings Moltbook’s founders into Meta and underscores the company’s accelerating push into agentic AI—where autonomous systems don’t just answer questions privately, but operate publicly, coordinate with other agents, and build reputation through persistent identities. The deal also raises immediate questions about safety, authenticity, and governance after Moltbook drew attention for bizarre and sometimes alarming agent-generated posts.

Anthropic has expanded Claude Cowork—its no‑code, agentic productivity tool—by rolling out department-focused plug‑ins that automate high-value professional workflows such as legal contract review & compliance, finance analysis, and marketing operations. Anthropic also open‑sourced 11 starter plug‑ins, aiming to jump-start enterprise adoption and customization. The move has been widely cited as a catalyst for the “SaaSpocalypse” narrative: investors fear AI agents could bypass traditional SaaS UIs, compress seat-based revenue models, and turn many tools into interchangeable back-end systems while the agent becomes the primary interface

Anthropic has expanded its agentic Cowork product with a plug‑in system designed to automate specialized departmental work (legal, finance, marketing, support, data, etc.)—and critically, Anthropic says it has open‑sourced 11 starter plug‑ins to accelerate enterprise adoption. Cowork is positioned as “Claude Code without the code,” bringing tool-using, multi-step agent workflows to non‑technical users via a UI. The move has been widely interpreted by investors as a direct threat to seat-based SaaS: if a general-purpose agent plus plug-ins can execute workflows end-to-end, many traditional tools risk being unbundled into back-end systems while the agent becomes the primary interface. Market coverage links these announcements to software-stock volatility and “SaaSpocalypse” narratives.

A sharp selloff in software and professional-information stocks is fueling “SaaSpocalypse” fears: investors worry that agentic AI will replace or “unbundle” traditional SaaS workflows. The catalyst is Anthropic’s Claude Cowork (research preview) and its newly released department-focused plug-ins—including Legal, Finance, Marketing, Customer Support, Data, Enterprise Search, and more—meant to automate specialized knowledge work with consistent, configurable playbooks. Major market coverage reports tens to hundreds of billions of dollars in market-cap losses across affected sectors, with names in legal, CRM, marketing automation, and enterprise software seeing meaningful declines as the market reprices the “seat-based SaaS” growth model.

You research the same topics over and over, drowning in tabs and half-finished docs. This guide shows how to pair Perplexity with Leapility to build “Insight Playbooks” — reusable workflows that turn raw questions into client-ready briefs. You’ll get a concrete service model, realistic pricing, and a step-by-step build process, including prompts, delivery templates, and a simple way to publish or license your playbooks.

Turn scattered client requests into a reliable production system. Use i10X as your multi-model “production brain” for drafts, rewrites, and structured outputs, then use Zapier AI to orchestrate intake, tagging, task routing, approvals, and delivery. This tutorial shows productized offers, a detailed SOP, templates, and realistic pricing—focused on consistency, not hype.

Google has launched the beta of “Personal Intelligence” for its Gemini AI, a groundbreaking feature that allows the assistant to access, reason across, and retrieve specific details from a user’s connected Google services including Gmail, YouTube, Photos, and Search. This move represents a major shift from a standalone chatbot to a proactive, context-aware agent with unprecedented access to personal data, creating a significant competitive moat by leveraging Google’s ecosystem