AI Work Surfaces Are the New Battleground

eve is a framework for building durable AI agents with a developer experience similar to modern web frameworks. It helps teams structure agent projects as simple folders, preserve state across runs, and compose agent behavior without rebuilding infrastructure from scratch. Developers can use eve to prototype assistants, automation agents, research workflows, and internal tools that need memory, repeatability, and clean deployment paths. It is designed for software teams, AI engineers, and product builders who want agent systems that feel maintainable rather than like one-off scripts. eve stands out because it focuses on the application layer around agents: opinionated project structure, durable defaults, and a workflow that makes agent development feel closer to shipping a production app.

We created autonomous AI Agents that monitor the stock market for you while you go about your day.<p>How it works: Tell our AI Assistant what you want to monitor, and it creates a project for our team of autonomous AI Agents. You&#x27;ll get notifications (email + app) when significant events matching your criteria are detected. For short-term projects, you&#x27;ll be notified when your analysis is ready.<p>Behind the scenes: When you give the AI Assistant a request to monitor an entity (like a stock or group of stocks), an AI Project Manager plans the project and breaks the project down into manageable tasks. These tasks run asynchronously - some recurring (hourly&#x2F;daily&#x2F;weekly&#x2F;monthly&#x2F;quarterly&#x2F;yearly), others one-time.<p>Example prompts you can try: Long-term monitoring: - &quot;Monitor Apple stock and notify me of any important events and red flags&quot; - &quot;Monitor Apple, Google, Microsoft, and Meta stock. Notify me if any of them start trending toward being undervalued&quot;<p>Short-term analysis: - &quot;Create a project to analyze the last 30 earnings calls for Tesla, spot trends, and how the business has evolved over time&quot;<p>You can track the progress of all tasks as the AI Agents work in the background.<p>Try it here: <a href="https:&#x2F;&#x2F;decodeinvesting.com&#x2F;chat" rel="nofollow">https:&#x2F;&#x2F;decodeinvesting.com&#x2F;chat</a><p>This is still an early version - we&#x27;re actively improving it based on feedback. Would love to hear what you think and what features you&#x27;d want to see next!<p>Previously shared our AI-powered Stock Market Research Analyst: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=41156478">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=41156478</a>

Humwork A2P Marketplace connects AI agents with verified human experts when autonomous workflows hit a wall. The platform is designed for coding agents, research agents, and operations agents that need fast human fallback on tasks they cannot resolve alone, passing context through MCP so the handoff feels native instead of manual. That makes it useful for teams deploying AI agents in production who want stronger completion rates across software engineering, design, strategy, and other knowledge work. Humwork positions itself as an always-available human layer rather than a general freelancer marketplace, with rapid matching and direct expert intervention inside agent workflows. What makes it unique is the agent-to-person model itself: it extends AI systems with on-demand human judgment instead of pretending every hard edge can be solved by automation alone.