Nebula
Your AI employee that manages your inbox, syncs tools, and automates workflows
Nebula is an AI employee platform that runs 24/7 to manage your inbox, sync your tools, and automate your workflows. Built like Slack but with intelligent agents instead of humans — each channel represents a business workflow with agents that have access to internet search, code execution, browser automation, and integrations with Google Suite, GitHub, Slack, Notion, Linear, and more.
Use Cases
- Content operations: Agents produce 3+ blog posts daily with research, writing, and publishing — no human writers needed
- Lead generation: Autonomous prospecting, personalized outreach, and follow-up tracking — no sales team required
- Product analytics: Daily insights, anomaly detection, and optimization recommendations — no data analyst
- Multi-agent businesses: Content agent feeds lead gen agent which feeds sales agent — full funnel automation
- Newsletter operations: Research, writing, and sending daily or weekly newsletters on autopilot
- Landing page optimization: A/B testing, competitor analysis, and continuous improvement without human intervention
Key Features
Slack-Like Agent Interface
Familiar channel-based interface where each channel is a business workflow managed by autonomous agents
Code Execution & Browser Automation
Agents can execute Python/JavaScript, automate browsers, and interact with any web service
Deep Tool Integrations
Native connections to Google Suite, GitHub, Slack, Notion, Linear, PostHog, CMS platforms, and more
Autonomous Scheduling
Set recurring workflows that run on schedule — agents create cron jobs and execute without human trigger
Recipe & Workflow Templates
Reusable workflow templates that capture your directives and can be deployed across multiple processes
Multi-Agent Coordination
Create specialized agents for different functions that can hand off work and collaborate autonomously
Quality Control Agents
Built-in critic agents that review output quality before publishing or executing critical tasks
Performance Feedback Loops
Agents learn from metrics and continuously optimize based on traffic, engagement, and conversion data