Start here
Three first tasks, each 5–10 minutes with a result you can verify. Just created your account? Connect AWS first — the quickstart walks you through it with zero setup assumed.Run your first cost analysis
Find idle resources, oversized instances, and unused commitments — with projected monthly savings
Set up Review
Connect a Git repository and get AI review comments on the next pull request
Investigate an incident
Route alerts into Pulse — the filter that strips noise from your monitoring — and let agents gather evidence and propose fixes
Choose your goal
Pick the outcome you want next. Each goal maps to a guided path.Spend less
Optimize — continuous spend audit across AWS, Azure, and GCP with rightsizing recommendations and approval-gated remediation
Ship safer
Review — every PR reviewed with context from running infrastructure, past incidents, and your team’s conventions
Resolve incidents faster
Resolve — Pulse strips noise from monitoring; agents investigate the rest and run approved runbooks
Test an app for vulnerabilities
Cyber — give Oliver, the security agent, one app target, optional authentication, and source context to test and verify
Automate recurring ops
Autonomous agents + skills — teach agents your runbooks, conventions, and policies once, as reusable skills, so the loop runs without restating them
Learn the platform end to end
Tutorial — run your role’s first prompts against your live environment, then follow the chain into your first module setup
How CloudThinker works
Every module runs the same agentic loop: Detect → Analyze → Resolve → Validate. Agents detect signals from your connections — metrics, cost data, pull requests, alerts. They analyze each signal against topology, history, and team knowledge to form a plan. The plan resolves under your autonomy mode — Manual or Auto — with approvals gating sensitive actions. Finally the agent validates the outcome and writes the result back into memory, so the next iteration starts smarter. You stay on the loop, not in every step: set the goal, choose the autonomy mode, and intervene when judgment matters. The AgenticOps field guide covers the reference architecture and governance discipline behind the loop.The four modules
Review
AI review on every PR with context from running infrastructure, past incidents, and team conventions. Inline comments, reproduction steps, suggested patches.
Cyber (Beta)
Oliver continuously tests one live application target, preserves its attack surface and findings between runs, and verifies each issue with reproducible proof.