Question 1

How is this different from ChatGPT or Claude?

Accepted Answer

ChatGPT and Claude chat with you. They answer questions, suggest ideas, write drafts. You still have to act on everything they say. CloudStation agents work for you. They don't just suggest research. They do the research and deliver a completed report. They don't draft an email template. They write personalized emails and send them. Think of it this way: ChatGPT is asking a consultant for advice. CloudStation is hiring a team to do the job.

Question 2

I'm not technical. Will this actually work for me?

Accepted Answer

Yes. That's the whole point. You don't need to know how to code, use APIs, configure workflows, or understand prompts. You describe what you need in plain English: "Research my top 10 competitors and create a comparison" or "Send personalized outreach emails to this list of leads" or "Build me a simple booking page for my coaching business." Charlie figures out which agents to create and how to get it done. You approve the plan, then watch it happen (or don't. Agents work independently).

Question 3

What kind of work can AI agents actually do?

Accepted Answer

Anything you'd delegate to an assistant or junior team member: Competitive research and monitoring, market analysis, customer feedback analysis, writing blog posts and emails, personalized outreach at scale, social media scheduling, client reports, project management, data entry, calendar scheduling, building websites and landing pages, booking systems, dashboards, APIs and integrations. If you can describe it clearly, agents can do it.

Question 4

What if the AI does something wrong?

Accepted Answer

Multiple safety nets: Agents check each other (research agent finds data, writing agent creates content, review agent checks quality before delivery). You approve plans before they start. You can watch in real-time with live visibility. Everything is versioned and saved with one-click rollbacks. Dangerous actions are blocked (agents can't delete databases, expose secrets, or run destructive commands). Plus, agents get better over time. The more you use CloudStation, the more it learns what "right" looks like for your business.

Question 5

How much does this actually cost? Are there hidden fees?

Accepted Answer

Transparent, predictable pricing: 3-day free trial to explore the platform (no credit card required). Starter ($49/month) gives you full AI workforce for solo founders with unlimited tasks, all agents, all integrations. Team ($149/month) adds multiple team members and shared workspaces. No hidden fees. No per-task charges. No token limits that cut you off. No surprise bills. No usage caps that stop you mid-project. You see exactly what you'll pay before starting work.

Question 6

Can I use my own AI keys?

Accepted Answer

Yes. CloudStation supports Bring Your Own Key (BYOK). Connect your own Claude, OpenAI, or Gemini API keys and pay the AI providers directly at their rates. You get predictable platform pricing with zero per-token markup. No vendor lock-in on the AI layer — switch models anytime.

Question 7

What happens to my data if I want to leave?

Accepted Answer

You own everything. Period. Export anytime: all code (standard Git repos, no lock-in), all reports and documents, all data and configurations, all automation workflows. Your work keeps running during your billing period. We don't shut you down the second you cancel. Want to switch to another platform? Take your code. Want to hire a developer to take over? They get clean, documented work. We keep you because it works, not because we trapped you.

Nouveautés produit pour la force de travail IA de CloudStation

Charlie apporte à votre équipe une véritable force de travail IA pour les projets

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Les intégrations Microsoft rapprochent l’IA des outils métier du quotidien

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De nouveaux parcours de déploiement aident à opérationnaliser les travaux existants

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Les fichiers projet et les vues navigateur gardent le contexte à portée de main

Des espaces personnels et d’équipe clarifient où le travail IA doit vivre

Les workflows récurrents aident les équipes opérations à standardiser l’exécution

Le moteur de déploiement rapproche les services en cours d’exécution du travail orchestré

La visibilité des sessions en direct rend l’avancement des agents plus lisible

Des agents organisés par projet rendent Charlie plus concret pour les équipes

La prévisualisation web simplifie la revue du travail produit par l’IA

Les tableaux Kanban transforment les sorties IA en passations suivables

Les espaces projet réunissent chat, tâches et prévisualisation dans une seule boucle de travail