Your AI Teammate. Built in 3 Steps, No Code.
Your best people are buried in work that shouldn't need a human.
AI was supposed to fix this. It hasn't — because generic AI doesn't know your stack, your playbook, or your team.
A Custom Agent does. It's an AI teammate with a name, your knowledge, and an @mention your whole team can use.
Why Generic AI Alone Isn't Cutting It
You've tried it. Your team has tried it. And yet — the work that should take 20 minutes still eats four hours. Here's why:
It doesn't sound like you
Every reply needs a rewrite to match your brand voice. Edit, edit, edit — by lunchtime you could have written it yourself.
It doesn't know you
Your playbook, your policies, the answer your team gave last week — none of it's in the chat. So it guesses, and you double-check everything.
It can't reach your tools
Your data lives in AWS, GitHub, Slack, Grafana, your databases. The AI lives in a browser tab that can't see any of them. So you copy-paste all day.
The AI isn't dumb. It just has no context. So someone on your team still babysits every reply.
Meet Custom Agents
A Custom Agent is your own AI teammate. It has a name, a personality, your playbook, and access to your tools. Your whole team @mentions it in Slack — and gets the same voice, the same knowledge, every time.
| Trait | Just a pinned prompt | A custom agent |
|---|---|---|
| Real personality | A wall of text pasted last quarter. The next chat forgets it. | Set once — every reply, every teammate, sounds like you. |
| Knows your stuff | You paste the same playbook into every conversation. | Your docs, policies, and runbooks loaded once. It just knows. |
| Plugs into tools | Lives in a tab. Can't see AWS, GitHub, Slack, or your dashboards. | Reaches AWS, GitHub, Slack, Grafana, your databases — only what you allow. |
| Shared by the team | "My prompt" vs "your prompt" — five teammates, five different bots. | Five teammates @mention the same agent. Same answer. Every time. |
A pinned prompt can't do this. The moment your team grows past one person, it falls apart.
How It Works
One rule when we built this: if setup took more than three steps, we'd cut one. It never came to that.
Name it
What should it be called? What is it here to do? Pick a name your team will recognize and write its job in one sentence. That's it.
Teach it
Tell it how to talk — friendly? formal? short and direct? Add the do's and don'ts. Drop in your style guide, FAQ, or playbook so it has the same context your team does.
Plug it in
Pick which tools the agent can reach — AWS, GitHub, Slack, Grafana, your databases. You decide exactly what it sees. Then drop it into a channel and start working.
AWS
Kubernetes
GitHub
Slack
Grafana+ more
Pro tip — Describe what you need in plain English and CloudThinker sets it up for you.
And It Only Gets Smarter
Here's what makes it feel like a teammate, not a tool: it learns. Every conversation, every new doc, every correction makes it sharper.
It remembers
Every conversation, every correction, every 'we don't actually do it that way' becomes part of its memory. Next time, it just knows.
It picks up new skills
Add a new doc, plug in a new tool, share a new playbook — your agent learns to use them. No retraining, no rebuild.
It gets better with use
The more your team works with it, the sharper it gets. Patterns it spots in your replies become how it replies tomorrow.
The agent you hire today knows your team a little. In three months, it'll know them better than the new hire.
Real Teams, Real Hours Back
Four teams. Four agents. Same story each time — busy work shrinks, people get their afternoons back.
DevOps
@on-callPulls AWS metrics, scans the logs, finds the broken pod — and posts the answer in Slack before the incident channel fills up.
AWSSlackGrafanaEngineering
@code-reviewerReviews every PR against your team's style guide and flags real issues — so the senior reviewer only sees what actually matters.
GitHub
GitLabSupport
@first-replyReads the customer message in Slack or Teams, drafts a reply in your team's voice, and waits for a human to send it with one click.
Slack
TeamsFinOps
@cost-watchWatches AWS, GCP, and Azure spend every day, flags weird spikes in Slack, and tells you exactly which service grew.
AWS
GCP
AzureThe pattern is simple: the agent handles the busy work, your team handles the judgment calls.
It plugs into what you already use — AWS, GCP, Azure, Kubernetes, GitHub, GitLab, Slack, Teams, Grafana, Datadog, and a lot more. Don't see your tool? You can connect it yourself in a few clicks.
Ship Your First Agent Today
Built with love
New use case? Spin up a new agent. No new tool, no new subscription — just a new teammate. A release agent this sprint, a security agent the next. Your bill doesn't grow with them.
Custom Agents are live in every CloudThinker workspace today. Free to start, no credit card, no code. Build one before your next standup — get the rest of the week back.
Start your free trial or book a demo to build your first Custom Agent today.