---
title: Introduction | 0ct
description: Learn what 0ct is and how it can automate your AI workflows
---

# Introduction to 0ct

0ct is a **scheduled AI tasks platform** that enables teams to automate intelligence workflows. Unlike traditional chatbots that wait for you to ask questions, 0ct proactively executes AI-powered tasks on a schedule—gathering data from your connected sources, applying your institutional knowledge, and delivering results exactly where you need them.

## Why 0ct?

Knowledge workers spend countless hours on repetitive intelligence tasks:

- Monitoring competitors and market trends
- Summarizing weekly reports and metrics
- Analyzing data across multiple tools
- Synthesizing information from various sources

0ct automates all of this. You describe what you want, connect your data sources, set a schedule, and let AI work for you continuously.

## Core Concepts

### Tasks

Tasks are the core unit of work in 0ct. Each task combines:

- **Prompt**: What you want the AI to do
- **Model**: Which AI model to use
- **Schedule**: When to run (hourly, daily, weekly, or custom)
- **Sources**: Where to get data from
- **Skills**: Reusable instructions to apply
- **Destinations**: Where to deliver results

### Sources

Sources connect 0ct to your data. Using the Model Context Protocol (MCP), 0ct can access:

- **Project Management**: Linear, Todoist, Asana
- **Development**: GitHub, GitLab
- **Communication**: Slack, Discord
- **Productivity**: Notion, Google Drive
- **Custom APIs**: Any service via MCP

### Skills

Skills are reusable instruction sets that capture your institutional knowledge. Attach them to any task to ensure consistent quality:

- Writing style and tone preferences
- Domain-specific terminology
- Step-by-step procedures
- Quality checklists

### Destinations

Destinations define where results go after a task completes:

- **Email**: Formatted reports delivered to your inbox
- **SMS**: Quick notifications for time-sensitive insights
- **Webhook**: JSON payloads for custom integrations

## How It Works

```
1. Create a Task    → Define what you want AI to do
2. Connect Sources  → Give AI access to your data
3. Attach Skills    → Apply your institutional knowledge
4. Set Schedule     → Choose when tasks run
5. Configure Delivery → Pick where results go
6. Let AI Work      → Sit back as insights arrive automatically
```

## Example Use Cases

### Weekly Team Metrics

> “Every Monday at 8am, pull our completed issues from Linear, merged PRs from GitHub, and messages from our Slack standup channel. Summarize the team’s accomplishments and flag any blockers.”

### Competitor Monitoring

> “Daily at 6am, search for news about \[competitors]. Summarize key announcements and assess potential impact on our market position.”

### Customer Feedback Analysis

> “Weekly on Fridays, analyze support tickets and NPS responses. Identify trends, categorize issues, and recommend product improvements.”

## Next Steps

Ready to get started? Head to the [Quickstart](/getting-started/quickstart/index.md) guide to create your first task in minutes.

Or explore the [API Reference](/api/index.md) to integrate 0ct programmatically using our TypeScript SDK.