- Today On AI
- Posts
- Anthropic Expands Claude Cowork to Web and Mobile for AI-Powered Office Work
Anthropic Expands Claude Cowork to Web and Mobile for AI-Powered Office Work
AND: Forterra Says 100+ Autonomous Ground Vehicles Have Operated in Ukraine
Danish Anwar
July 08, 2026
✨TodayOnAI’s Daily Drop
Anthropic Expands Claude Cowork to Web and Mobile for AI-Powered Office Work
Forterra Says 100+ Autonomous Ground Vehicles Have Operated in Ukraine
Vercel Bets Open AI Infrastructure Will Win the Enterprise Agent Race
💬 Let’s Fix This Prompt
🧰 Today’s AI Toolbox Pick
| 📌 The TodayOnAI Brief |
Anthropic
🚀 TodayOnAI Insight: Anthropic is bringing Claude Cowork to web and mobile for Max subscribers, extending its Claude Code-style agent beyond developers into everyday knowledge work. The expansion reflects a broader race among AI labs to own the workflows where work actually happens—not just the chatbot interface.
🔍 Key Takeaways:
Claude Cowork now runs across desktop, web, and mobile, allowing users to start tasks on one device and monitor progress anywhere.
The agent continues working in the background, requests human input when needed, and keeps projects synchronized across platforms.
Anthropic envisions Cowork handling administrative work such as reports, onboarding, research, meeting prep, spreadsheets, and follow-up emails.
Usage data from 1.2 million sessions across 600,000+ organizations shows business operations (33.4%) and content creation (16.4%) far outpace software development (8.7%).
The launch mirrors OpenAI’s broader Codex strategy, signaling that AI competition is shifting from coding assistants to full-fledged workplace agents.
💡 Why This Stands Out: Anthropic’s latest move reinforces a growing industry trend: the biggest AI opportunity may be automating the routine work surrounding every job rather than replacing specialized expertise. As AI agents become persistent, cross-platform collaborators, the real competitive advantage may belong to whoever becomes the default operating layer for daily work.
Forterra
🚀 TodayOnAI Insight: U.S. autonomous vehicle company Forterra says more than 100 of its AI-powered Lancer ground vehicles have completed over nine months of logistics missions in Ukraine, marking what it believes is the largest deployment of autonomous U.S. ground vehicles in active combat. The rollout highlights how AI is expanding beyond drones into battlefield logistics and military mobility.
🔍 Key Takeaways:
Forterra's gas-powered Lancer UGVs have completed 1,100+ missions, traveled over 2,500 miles, transported nearly 780,000 pounds of cargo, and supported 52 casualty evacuations.
Built on Polaris ATVs with a custom autonomy stack, the vehicles can carry up to 750 kg—roughly three times the payload of many battery-powered alternatives.
Ukrainian forces primarily use teleoperation in combat, as current autonomy still struggles with unpredictable battlefield threats and tactical decision-making.
Combat deployments have helped Forterra improve software updates, electronic warfare resilience, navigation, and vehicle reliability while strengthening its position for future defense contracts.
The company is combining traditional robotics with generative AI to develop more adaptive autonomous systems, joining a growing race alongside startups such as Scout AI, Field AI, and Overland AI.
💡 Why This Stands Out: Ukraine continues to serve as a proving ground for next-generation autonomous systems, exposing both their value and their current limitations. The next wave of military AI may be defined less by fully autonomous weapons and more by intelligent logistics platforms that reduce risk for human operators while continuously learning from real-world deployments.
Vercel
🚀 TodayOnAI Insight: Vercel CEO Guillermo Rauch says AI has entered a new phase where enterprises are shifting from experimentation to production-ready agents. With 6 million deployments per day—half driven by coding agents—and over 1 trillion tokens processed daily through its AI Gateway, Vercel is positioning itself as the infrastructure layer for the next generation of AI applications.
🔍 Key Takeaways:
Rauch identified two standout AI use cases: coding agents that generate software and internal enterprise agents that automate business operations.
Vercel introduced Eve, a natural language framework for defining agent behavior, and Sandbox, which isolates agents to enforce data access, security, and governance.
Enterprises are increasingly prioritizing flexible, multi-model deployments over exclusive partnerships with a single AI provider, with Gemini and open-source models gaining traction alongside OpenAI and Anthropic.
Rauch argues AI agents are pushing companies to expose data through APIs, challenging traditional SaaS platforms built around closed ecosystems.
While AI labs are expanding into hosting and deployment, Vercel believes the long-term opportunity lies in providing an open infrastructure layer—similar to AWS—for AI-native software.
💡 Why This Stands Out: The AI race is no longer just about building the smartest model—it's about owning the infrastructure where intelligent applications are created, deployed, and managed. As enterprises prioritize security, interoperability, and production reliability, the companies enabling AI workflows may become just as influential as the model providers themselves.
| 💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.
✅ The Improved Prompt
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
🛠️ Learn how to adapt this prompt for SaaS, AI tools, dev teams & more →
Read the full PromptPilot breakdown
💡 Bonus Tool: Want to generate and master prompts instantly?
👉 Try PromptPilot by TodayOnAI (Free to use)
| 🧠 Smart Picks |