Anthropic brings agent workflows to non-technical teams


Welcome back.

AI keeps stretching in different directions at once.
Lower barriers for non-technical teams. Bigger, slower bets from long-term capital. And fast-moving experimentation in open communities.

In today’s edition:

  • Anthropic adds Cowork plugins for non-coders
  • Waymo targets $16B funding at $110B
  • OpenClaw open-source AI agents gain traction
  • Tools, and a prompt to turn a plan into a weekly tracking system ⬇️

🚀 News Updates

Anthropic adds agentic plugins to Cowork Link ↗

Anthropic is expanding Cowork with agent-style plugins designed for non-technical teams.

Marketing, legal, sales, and support groups can now create task-specific plugins that connect Claude to internal tools, documents, and workflows — without writing code.

These plugins handle practical work: drafting and reviewing content, pulling internal data, responding to support tickets, or preparing reports. Some are open-sourced, and Cowork is currently available as a research preview for paid Claude users.

The larger signal here isn’t flashy automation. It’s agents moving out of engineering teams and into everyday business operations, where reliability and usability matter more than novelty.

Waymo raises toward a $110B valuation Link ↗

Waymo is reportedly raising up to $16 billion at a valuation near $110 billion, with Alphabet leading the round alongside institutional investors.

This comes as Waymo continues expanding fully driverless ride-hailing services across U.S. cities and scaling real-world operations.

Unlike many autonomy startups, Waymo is already running commercial services. This round looks less like a technology bet and more like long-term infrastructure funding — fleets, coverage, and regulatory execution in autonomous transportation.

OpenClaw emerges as a large open-source agent ecosystem Link ↗

OpenClaw (formerly Clawdbot) is quickly becoming one of the largest open-source AI agent ecosystems, now with over 100,000 GitHub stars and a broad contributor base.

The project emphasizes modular agents, shared skills, and community-built extensions. One experimental effort, Moltbook, explores how agents might interact socially through shared capabilities.

That said, the ecosystem is still evolving. Known risks like prompt injection and growing system complexity make OpenClaw better suited for research and experimentation than production use — at least for now.


🛠️ The Toolkit

Featured Tools

  • ✏️ SketchTo – Converts images to sketches and sketches back to images using AI.
  • 🧠 Liminery – Saves and recalls anything instantly with AI-powered memory.
  • 🎬 Unscreen – Automatically removes backgrounds and objects from videos.
  • 🎨 GoCrazy – Creates AI videos, images, and voices in seconds.

📈 Market Watch

Funding & Deals:

Open Roles:

  • Senior Staff Machine Learning Engineer, Ads Targeting and Retrieval at Reddit (Remote)
  • Infrastructure Engineering Lead, IT at OpenAI (U.S.)

💡 Prompt Tutorial

Turn This Plan Into a Weekly Tracking System

The Goal: Once an action plan exists and you want to make sure it actually moves forward week to week.

The Prompt:

Convert the plan below into a simple weekly tracking system.
Requirements:
Identify what needs to be tracked weekly vs. what doesn’t
Define 1–2 signals per action that show progress or risk
Suggest a weekly check-in format (questions to ask, not a meeting agenda)
Flag when leadership should step in
Output sections:
Weekly metrics to track
Weekly questions to ask
Escalation triggers
Keep it minimal and execution-focused.
Plan:
[paste the action plan]

Stay curious,

Pooja from AI Paradox

PS: Want to catch up? [View the Archive here].

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