AI Agent Platform - Your AI Workforce

AI agents are autonomous software entities that can understand instructions, make decisions, and take actions without constant human oversight. Unlike simple chatbots that respond to prompts, agents can reason, remember context, and execute multi-step workflows.

In Taskade Genesis, AI agents are the Intelligence layer of your Workspace DNA:

• They read and analyze your project data (Memory)
• They make decisions based on context
• They trigger automations and update databases
• They learn and improve from every interaction

Think of them as digital teammates. They keep workspace context and can run after you leave a session.

Build your first agent →

Traditional SaaS often uses fixed workflows and per-seat pricing. AI agents can follow the instructions and data you give them.

What one agent can replace:

• Customer support tools — Intercom, Zendesk, Freshdesk
• CRM busywork — Data entry, follow-ups, lead scoring
• Reporting dashboards — Manual data pulls and spreadsheet work
• Project management overhead — Status updates, task assignments, reminders

The difference is capability. SaaS tools follow the workflows they were built for. Taskade agents can use your workspace data, tools, and automations.

Training happens automatically through your Workspace DNA. Your workspace becomes the training data. Agents learn from:

• Projects — Your documents, databases, and structured data (the Memory layer)
• Files — PDFs, spreadsheets, and uploaded content
• URLs — Websites, documentation, and knowledge bases
• Conversations — Past interactions and decisions

Training process:

1. Create an agent and describe its role
2. Connect it to relevant projects and data sources
3. Give it instructions in natural language
4. Let it learn from real interactions

You do not need machine-learning expertise. Connect your data, write instructions, and start using the agent.

Learn about agent training →

Yes. Taskade supports multi-agent collaboration where specialized agents handle different parts of a workflow. This is a core part of the Genesis platform.

Example team setup:

• Research Agent — Gathers information from the web
• Analysis Agent — Processes data and identifies patterns
• Writer Agent — Drafts content based on findings
• Review Agent — Checks quality and suggests improvements

Agents communicate through your workspace. One agent's output can become another agent's input. You can also pass results through automations.

ChatGPT and Claude are general-purpose AI assistants. Taskade agents are specialized workers trained on your specific data and connected to your workflows.

Key differences:

ChatGPT can write you an email. A Taskade agent can monitor your CRM, identify leads that need follow-up, draft personalized emails, send them through your email integration, and log the activity — all without you asking.

Compare Taskade vs ChatGPT →

Yes. Taskade agents only access data you explicitly connect. Your information is never used to train external AI models.

Security measures:

• Workspace isolation — Agents can't access data outside their scope
• Permission controls — Define exactly what each agent can read and write
• Audit logs — Track every action agents take
• SOC 2 — Type II-aligned controls, certification in progress
• Data protection — Your data stays in your workspace

Agents operate within your workspace boundaries. They enhance your work without compromising your privacy.

Learn about security →

Workspace DNA is the accumulated knowledge in your workspace that powers everything in Genesis. Unlike other platforms that start with empty templates, Genesis builds on what you already have.

The three strands of Workspace DNA:

• Memory (Projects) — Your structured data and databases
• Intelligence (Agents) — AI teammates that think and decide
• Execution (Automations) — Workflows that connect 100+ apps

Agents continuously read from your Memory, make intelligent decisions, and trigger Execution. The results flow back into Memory, creating a self-improving cycle.

Results write back to Memory, so the next run starts with more context.

Learn about the AI Platform →

Yes. Each agent action — chat responses, tool calls, and multi-agent turns — consumes AI credits. Cost depends on the selected model. Lighter models cost less. Reasoning models cost more.

Published agents with public links do not consume your credits when visitors interact. Credits are only used during your own agent conversations and tool calls.

Monitor your usage at Settings → Usage. See AI Usage for the full breakdown.