Stop paying $200/month for AI tools that just chat with you. CloudStation gives you AI agents that actually do the work: research, writing, outreach, data analysis, building apps. While you focus on running your business.
Other AI tools are assistants. They answer questions. They make suggestions. They help you work faster. CloudStation is a workforce. You describe what needs to get done. AI agents do it. Actually do it. While you watch or go grab coffee.
ChatGPT gives you an outline. Claude suggests ideas. Jasper drafts copy you have to rewrite. You still spend hours copying, pasting, editing, formatting, and uploading. You wanted help. You got more steps.
ChatGPT for writing. Claude for research. Zapier for automation. Make for workflows. Notion AI for notes. Each one is "only $20-30/month" but suddenly you're at $180/month and STILL manually copying data between them like it's 2015.
You asked AI to build something. It worked on your laptop. Then you tried to deploy it and hit a wall of Docker errors, environment variables, and DNS configuration. 80-90% of AI projects never leave prototype phase. You're part of that statistic.
You finally got momentum. Then: "You've used 90% of your tokens." Either pay $30 more or stop working. Every. Single. Month. You're paying more in AI subscriptions than your software actually costs.
Tell Charlie "Research my competitors and create a comparison report." A research agent searches the web, reads their sites, compiles data, writes the report, saves the file. You get a finished document, not a chat response you have to act on.
Research agents find information. Writing agents create content. Code agents build apps. Communication agents send emails. Data agents analyze spreadsheets. They work together, pass work between each other, and deliver finished results.
Stop paying for ChatGPT + Claude + Jasper + Zapier + Make + n8n. One AI workforce coordinates everything: research, writing, building, deploying, automating, analyzing. One subscription. No integration hell.
Not suggestions or drafts. Actual completed reports, sent messages, deployed websites, analyzed data. CloudStation delivers outcomes, not next steps.
Charlie turns plain-English requests into orchestrated, multi-agent workflows. She selects only the tools each agent needs, keeping context windows clean and execution reliable.
Describe the outcome, not the steps. "Research what founders complain about on Reddit and create a report." "Send personalized outreach emails to 50 leads." "Build a booking system for my consulting business."
Charlie runs in her own sandbox and exposes the agents she creates across your tools. Trigger workflows, send context, and receive outputs from chat, repos, docs, and calendars.
Charlie Orchestrator
Orchestration layer
Charlie coordinates agents from her sandbox and delivers results back into your tools and cloud.
Native
Slack
Chat & automation
Reach Charlie via Slack and ask her to do anything. Full conversation logs sync back to the app automatically.
Live
GitHub
Source control
Connect repos so agents can read structure, propose changes, or deliver ready-to-review updates.
Live
Google Calendar
Scheduling
Charlie can schedule meetings, set reminders, and manage your calendar like a personal assistant.
Live
Telegram
Inbox & commands
Call any custom agent, receive outputs instantly, and escalate tasks through bot messages.
Live
Google Drive
Docs & assets
Agents read briefs, specs, and documents and deliver updates or artifacts back to shared folders.
Live
Gmail
Charlie can read emails, create drafts, respond, and close loops automatically.
Live
Messaging
Reach Charlie via WhatsApp and ask her to do anything. Full conversation logs sync back to the app automatically.
Live
Notion
Knowledge base
Publish mission outcomes, decisions, and retrospectives to shared docs in a click.
LiveGive Charlie the goal and she creates the tasks, assigns them to her agents, validates the work, and ships the result. You stay out of the loop while everything runs safely inside the sandbox.
Talk like you're delegating to a smart assistant. No prompts. No technical language. "Research competitors." "Write outreach emails." "Build a dashboard." Charlie figures out the rest.
Research. Writing. Building. Analyzing. Communicating. Each agent is an expert at one thing. They work together like a real team. Research agent finds info, writing agent turns it into content, email agent sends it.
Set up automations that run without you. "Every Monday, summarize last week's Slack and email me." "When a lead comes in, research them and draft a pitch." "Check competitor pricing daily and alert me to changes."
Real-time visibility into what every agent is doing. See research agent searching the web. Watch writing agent drafting content. Monitor code agent building features. No black box. Full transparency.
Slack, Gmail, Notion, GitHub, Google Drive, WhatsApp. All work together. Your AI team uses the tools you already have. No export/import. No manual copying. Agents read from one tool, write to another, automatically.
One subscription. Know what you'll pay. No usage limits that stop you mid-project. No "you've used 90% of tokens" messages. See costs upfront. Pay one price for your entire AI workforce.
Charlie doesn't just build new things. She works inside your existing repositories, tools, and approval flows to maintain, improve, and ship updates to the code you already have.
Slack
#standups
GitHub
cloudstation/platform
Charlie Agent
Mission planner
Drop in your product spec or ticket
Whether it's a new feature or a fix to legacy code, Charlie turns your requirement into tasks, branches, and checkpoints that match your codebase.
Slack
#standups
GitHub
cloudstation/platform
Charlie Agent
Mission planner
Connect your repo, CI, and toolchain
Charlie works inside your Git workflow. She opens branches, respects your CI rules, uses your secrets, and stays inside the guardrails your team already trusts.
Dev tooling
ChatOps channel
Slack / Telegram
Customer messaging
Review, merge, and iterate
Charlie posts diffs, runs tests, and ships updates from her sandbox. Your engineers stay in control of merges, rollbacks, and production deploys.
mission-payments-prod
mission-edge-api-staging
mission-risk-dev
mission-control-prod
mission-dr-infra
mission-mobile-preview
Charlie scopes the goal, sequences the tasks, selects the right agents, and executes the entire workflow inside a sandbox without losing context.
# Mission: Analytics API
- ✅ Multi-tenant ingestion endpoint (Kafka)
- ✅ Streaming transform workers
- ✅ Metrics rollups (ClickHouse)
- ⏱️ Compliance logging hooks
Risks:
1. Ensure GDPR delete flow
2. Forecast peak throughput
export const handler = createSignedHandler(async (req) => {const payload = await requestValidator(req);
await auditTrail.record({ tenantId: payload.tenantId, action: "INGEST" }); await stream.publish("analytics.raw-events", payload); return { statusCode: 202 };});
registerMetric("ingestion.latency").observe("ok");› npm run verify
PASS src/__tests__/ingestion.spec.ts (7.12 s)
PASS src/__tests__/compliance.spec.ts
✓ GDPR erase flow (214 ms)
✓ SOC2 audit log (102 ms)
▲ Ship plan ready → ./rollout-notes.md
Two platforms, one ecosystem. Deploy cloud apps and orchestrate AI agents from a single workspace.
Let Charlie orchestrate your AI workforce
Early adopter pricing · subject to change
See the initiatives we're actively building to expand Charlie across workflows, integrations, and governance.
Run agents with Gemini, Codex, and future coding engines directly inside the isolated sandbox.
Rolling OutCreate specialized agents with your own model subscription, not just Claude Code.
BetaAsk Charlie to deploy, scale, or debug your apps. No clicks needed.
In PilotStart agents and workflows from WhatsApp, Slack, Telegram, or simple API calls.
Coming SoonFaster, more powerful isolated environments with persistent state and improved browser automation.
Rolling OutLet multiple agents collaborate on planning, coding, testing, and shipping inside your sandbox.
Rolling OutEverything you need to know about partnering with Charlie, from security posture to rollout approach.
Join founders who replaced their chaotic AI tool stack with one workforce that actually gets tasks done while they focus on growing their business.