You log in on a Monday morning and see a spike in error rates. Instead of juggling dashboards, exporting logs, and paging multiple teammates, you type a single command in your terminal: “Show me today’s availability issues and isolate the root cause.” In seconds, an AI agent gathers metrics from Datadog, parses stack traces in your logs, cross‑checks the last commit, and offers a pull request that fixes the offending line of code. No tab‑hopping, no copy‑pasting. Just insight, action, and resolution.

This isn’t a thought experiment. It’s what our upcoming release makes possible, and it’s going live soon.

Why We Built It

Modern DevOps and SecOps teams sit on a gold mine of data, including source control, CI/CD pipelines, SIEM logs, cloud configs, ticket queues, vulnerability feeds. Yet that richness creates tool sprawl and cognitive overhead that AI can help you avoid. Analysts spend more time navigating interfaces and exporting CSVs than solving problems when using siloed, fragmented tools.

We asked a simple question: What if the data and the actions lived in the command line, guided by an AI partner that already knows how your stack fits together? The result is a workflow engine that turns natural‑language intent into concrete, multi‑step operations across your entire environment.

How It Works Under the Hood

1. Universal Connectors via MCP
   We embraced the emerging MCP standard to expose a fleet of connectors: source‑code hosts, cloud APIs, SIEMs, ticketing systems, even generic shell sandboxes. The agent can read and write, giving you a single surface to inspect logs one minute and reconfigure infrastructure the next.
   
   
2. Domain‑Tuned AI Brain
   Generic language models stumble on CLI syntax, DevOps jargon, and cloud‑provider quirks. We closed those gaps with a proprietary model fine‑tuned on thousands of real‑world DevOps and SecOps scenarios. It’s optimized for tool calling, so it knows when to run kubectl, when to hit your JIRA API, and when to pause for human approval.
   
   
3. Agentic Framework for Multi‑Step Execution
   A custom planner decomposes your request into intents, chooses the right tools, iterates until it meets success conditions, and summarizes results. Think of it as a senior engineer who not only understands what you want, but also remembers intermediate findings and adjusts the plan on the fly.
   
   
4. Safety & Governance Built‑In
   Every action routes through policy checks, role‑based permissions, and an auditable timeline. You stay in control. Approve or deny with a single click.
   
   

Benefits You’ll Notice Immediately

• Focus on Outcomes, Not Interfaces
  Work from one terminal instead of eight browser tabs.
  
  
• Faster Mean Time to Resolution
  Automated data gathering and root‑cause analysis shave hours off incidents.
  
  
• Security by Default
  Continuous context from SIEM to cloud config means issues are found—and fixed—before attackers find them.
  
  
• Institutional Knowledge on Tap
  The agent can leverage your knowledge store and over time you can train it on new patterns that emerge.

Looking Ahead

We’re already exploring the next wave of capabilities, all aimed at scaling the same “one prompt → outcome” experience to bigger, more ambitious challenges:

• Self‑healing playbooks that learn in production. Each successful resolution feeds back into the system, so agents improve autonomously over time.
  
  
• Curiosity‑driven agents for open‑ended work. When goals are ambiguous or data is sparse, the agent will ask clarifying questions, run its own research, and keep you in the loop, minimizing hand‑holding while maximizing accuracy.
  
  
• Robust, long‑running operations on autopilot. From multi‑hour compliance audits to disaster‑recovery drills, agents will maintain state, handle retries, and uphold quality until the job is done.

Join the Preview

We’re opening early access to a limited number of design‑partner teams. If you’d like to spend less time wrangling tools and more time shipping resilient, secure software, drop us a comment or DM. We’ll reach out with details on onboarding and listen closely to your feedback, because this platform is built for practitioners, by practitioners.

Ready to see what a single interface can do for your ops? Join the preview.

See you in the terminal.

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