How to Deploy an AI Agent in Under 10 Minutes With Cortex

One of the biggest barriers to AI adoption in companies is DevOps overhead. Deploy your own OpenClaw instance? That's a week of infrastructure work. Cloud vendor lock-in? Security configuration? Kubernetes? It's overwhelming.

Cortex removes all of this. From signup to a live agent responding in your Slack channel takes about 10 minutes. Here's how.

The Five-Step Cortex Onboarding

Step 1: Organization Setup (1-2 minutes)

You sign up, create your organization, and add team members. That's it. No configuration, no infrastructure decisions. Cortex handles all the backend provisioning in the background.

Step 2: LLM Key Setup, BYOK Security (1-2 minutes)

This is where Cortex's BYOK (Bring Your Own Keys) security model appears. You provide your OpenAI, Anthropic, or other LLM provider API key. Cortex never touches your keys; they're encrypted and stored in Supabase Vault.

This is crucial. Your LLM credentials stay under your control. You can rotate them anytime. You can audit usage. You maintain security.

Step 3: Channel Connection (1-2 minutes)

Where do you want your agent to live? Slack? Telegram? Choose your channel and authorize Cortex to connect. The agent is automatically configured for that channel.

Cortex currently supports Slack and Telegram, with WhatsApp and iMessage coming soon. Each agent gets a dedicated connection to its channel; Cortex infrastructure runs on dedicated servers per agent, not shared infrastructure.

Step 4: Knowledge Hub Builder (3-4 minutes)

Here's where the magic happens. You don't write a system prompt. You don't manually configure the agent's personality and knowledge. Instead, you answer five guided questions presented by an AI interviewer. The Knowledge Hub Builder walks you through:

1. Company overview: What does your organization do, what problems do you solve?
2. Team structure: How is the team organized, what roles exist, who does what?
3. Tools and tech stack: What systems does your team use, what integrations matter?
4. Goals and priorities: What should this agent focus on, what outcomes matter most?
5. Agent persona and rules: How should the agent behave, what boundaries should it respect?

This isn't a questionnaire. It's an interview. The AI asks follow-up questions, digs into context, and gradually builds a rich picture of your organization and the agent's role.

The answers are processed into structured markdown documents. These become the agent's knowledge base; searchable, organized, version-controlled. Not a hidden system prompt, but explicit documentation the agent can reference and you can maintain.

Step 5: Provisioning (Background, 8-step pipeline)

While you're completing the Knowledge Hub interview, Cortex is provisioning your agent in the background. An 8-step pipeline is running:

1. Secure vault creation for your keys
2. LLM connection validation
3. Channel authorization setup
4. Dedicated server provisioning
5. Knowledge base indexing
6. Active memory initialization (the four-tier graduation system)
7. Monitoring and logging configuration
8. Health check and agent activation

By the time you finish answering the interview questions, your agent is ready. You can start using it immediately.

The Contrast: Self-Hosting OpenClaw

To understand why this matters, consider the alternative. Self-hosting OpenClaw (the underlying technology behind Cortex) requires:

• Infrastructure planning: Choose cloud provider, region, availability zones
• Kubernetes cluster setup: Create and configure your cluster
• Database provisioning: Set up PostgreSQL, backups, replication
• Security configuration: Encryption, RBAC, network policies, firewall rules
• LLM integration: Set up API connections, rate limiting, cost tracking
• Monitoring and alerting: Prometheus, Grafana, log aggregation
• Compliance and audit: Ensure your setup meets your security standards
• Ongoing maintenance: Updates, patches, performance tuning

This is easily a week of work, even for experienced DevOps engineers. It's a constant operational burden.

Cortex eliminates all of this. The provisioning pipeline handles it automatically. You provide your LLM keys (stored securely in Supabase Vault) and answer some questions. Cortex handles the rest.

The 10-Minute Timeline

Here's what a real 10-minute onboarding looks like:

• 0-1 minute: Signup and organization creation
• 1-3 minutes: LLM key configuration (BYOK)
• 3-4 minutes: Slack/Telegram channel connection
• 4-9 minutes: Knowledge Hub Builder interview (while provisioning runs in background)
• 9-10 minutes: Agent activation and first message test

You spend the first 9 minutes answering questions and configuring your preferences. The backend provisioning (Step 5) runs in parallel. By minute 10, your agent is live in your channel, ready to respond.

What Happens Next

After onboarding, your agent is operational. It has a knowledge base built from your answers. It can access team and company memory. It's configured for your channel. It's running on dedicated infrastructure.

As the agent operates, it learns. Interactions are captured, patterns are extracted, memory is graded and promoted through Cortex's four-tier graduation system (volatile, daily, stable, permanent). The agent becomes smarter every day.

Updates to your knowledge base are easy; you're editing markdown files, not tweaking system prompts. Changes propagate immediately to your agent.

The Speed Advantage

The 10-minute deployment isn't just fast; it's fast enough to change how companies approach AI. It means:

• You can experiment with AI agents without major infrastructure investment
• You can iterate quickly, adjust your agent's role, and redeploy in minutes
• You can scale to multiple agents (Cortex pricing at $99/mo for 1 agent, $399/mo for 3 agents, or Enterprise) without proportional infrastructure costs
• You can deploy specialized agents for different teams without managing separate infrastructure

That's why companies choose Cortex over self-hosted solutions: the speed to value is transformed. From a week of DevOps work to 10 minutes of setup. From infrastructure overhead to simple configuration.

Live agents, in minutes. That's the Cortex difference.

Ready to deploy your first agent in 10 minutes? Visit launchcortex.ai and sign up today. You'll have a live AI teammate in your Slack channel before lunch.