Runner H: AI Execution Engine In Free Beta

Quick Take: Runner H, an AI execution engine that orchestrates specialist agents to get work done across your apps is all the blaze! An agent that connects to Slack, Notion, and Google Workspace, reads your documents for context, and executes multi-step tasks from a single prompt. The private beta is your chance to try it out!


🚀 The Crunch

🎯 Why This Matters: Runner H is a direct shot at the biggest limitation of current AI: they talk, but they don’t *do*. This platform is built for execution, not just conversation. For developers, it’s an API for automating complex, multi-app workflows that would otherwise require a tangled mess of scripts and manual steps. It’s the bridge between getting an answer and getting a task done.

🤖
Agent Orchestration
One prompt triggers a full workflow. Runner H acts as a conductor, assigning the right specialist AI agents to plan, build, and deliver results in sync.
🔌
Deep App Integration
Connects natively to Slack, Notion, Google Workspace, and more. It acts directly inside your stack, with Zapier as a fallback for everything else.
🧠
Context from Your Data
Drop in PDFs, docs, and data files to create a secure, workspace-specific knowledge vault. This powers smarter, more accurate agent actions.
💳
Autonomous Payments
A glimpse of the future. In a limited beta, Runner H agents can be authorized to purchase products or subscribe to services, fully autonomously.

⚡ Developer Tip: Get on the beta waitlist and start thinking in workflows, not just prompts. Your first test shouldn’t be a question, but a command that spans multiple apps. For example: “Read the project spec in this Notion doc, create a summary in Google Docs, and post the link to the #dev channel in Slack.”

Critical Caveats & Considerations

  • Private Beta: Access is via a waitlist. Features are early and will evolve.
  • Free for Now: The service is free during the beta, but expect paid tiers to be introduced later.
  • Autonomous Payments are Limited: This headline feature is only available to a small cohort of users for now.
  • Data Security: Your data is stored in an encrypted, workspace-specific vault and is not used for public model training.

🔬 The Dive

The Big Picture: The Shift from Answer Engines to Execution Engines. H is making a claim: chatbots give answers, but Runner H gets work done. Instead of a single, monolithic AI trying to do everything, Runner H acts as an intelligent orchestrator, dispatching specialized agents — to accomplish complex tasks spanning multiple applications.

The Runner H Architecture

  • The Orchestrator Core: Runner H is the central brain. When you give it a prompt, it doesn’t just try to answer; it deconstructs the task into a plan and assigns sub-tasks to the most appropriate specialist agents in its arsenal.
  • A Fleet of Specialist Agents: The platform includes a growing number of specialized agents. The first is “Surfer H,” their web agent powered by custom VLMs that can navigate sites and self-heal when UIs change. Future agents will likely specialize in other domains.
  • The Integration Layer: True execution requires access. Runner H connects directly to your most-used apps like Google Workspace, Notion, and Slack. For everything else, it can spin up a Zapier step, giving it a massive reach into thousands of other services.
  • Secure, Contextual Memory: The ability to upload files into an encrypted, private vault is key. This gives the agents the specific context they need to perform tasks accurately—like summarizing *your* meeting notes or filling out a spreadsheet with data from *your* PDF report—without compromising your data.

TLDR: Runner H is an AI that executes tasks across your apps, not just a chatbot that answers questions. It orchestrates a team of specialist agents to automate your work, from filling spreadsheets to booking calendars. Stop copy-pasting, start executing.

Tom Furlanis
Researcher. Narrative designer. Wannabe Developer.
Twenty years ago, Tom was coding his 1st web applications in PHP. But then he left it all to pursue studies in humanities. Now, two decades later, empowered by his coding assistants, a degree in AI ethics and a plethora of unrealized dreams, Tom is determined to develop his apps. Developer heaven or bust? Stay tuned to discover!