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By the end of this tutorial you will have run one role-specific prompt against your live environment and refined it with follow-ups. Allow ~10 minutes.
What you’ll need: a workspace with at least one connection — CloudThinker can’t return real results without one. If you haven’t set that up, complete the quickstart first.

The syntax

Talk to agents in plain language. The full pattern is:
  • @agent (optional) — leave it out and CloudThinker answers, or mention one of your workspace’s custom agents.
  • #connection (optional) — the connection to use, such as your AWS account or a Kubernetes cluster.
  • / (optional) — run a skill or a command.
  • Your request — what you need, in your own words. Add any context inline.
See Commands for the full list.
1

Open a chat

Sign in at app.cloudthinker.io and click New chat in the left sidebar.Success state: an empty conversation opens. Type your request in plain language — no mention needed, CloudThinker answers.
2

Run your role's quick win

Pick the tab that matches your role, paste the quick win, then try the follow-ups once you see the shape of the output.
Goal: Cut the time from alert to root cause. Get a structured investigation, not raw logs.You need: Pulse configured, plus connections for the systems you operate.Quick win — investigate an active alert:
CloudThinker splits the work across subagents, gathers evidence in parallel, and returns a ranked list of likely causes with the evidence behind each.Follow up:
Success state: CloudThinker replies naming resources, queries, or rules you recognize from your own environment — not generic best practices.
3

Refine the conversation

CloudThinker keeps the conversation’s context, so build on the result instead of starting over:
  • Be specific upfront. “EC2 costs in us-east-1 for the last 30 days” beats “show me costs”.
  • Refine, don’t restart. “Drill into RDS for the items above” works.
  • Ask for the shape you want. Ask for a dashboard first to see the trend, then ask for recommendations on the same topic.
  • Ask across areas in one prompt. For anything that spans cost, security, databases, and Kubernetes, ask once — CloudThinker splits the work for you.
Success state: a follow-up prompt returns an answer that references items from earlier in the conversation without you repeating them.

You’re done when…

  • Your role’s quick win returned results naming resources or queries you recognize
  • At least one follow-up prompt built on the first answer without restating it
  • You can ask for a dashboard, a report, or recommendations in plain language

Next steps

Every prompt you just ran is one pass of the Detect → Analyze → Resolve → Validate loop described in How CloudThinker works — the modules below run that loop continuously. Set up your first module:

Resolve

Route alerts into Pulse so every incident is investigated before you open a terminal.

Review

Connect a repository and get review comments from @cloudthinker-ai on the next pull request.

Optimize

Run a scan to surface cost-saving findings and track them through implementation.

Skills

Teach CloudThinker your team’s procedures so it runs them your way.