What AI models does the agent use?

The agent has access to Claude, DeepSeek, Gemini, and other top models. It automatically routes to the best model for each task — you never have to think about API keys or token limits.

Yes. Each agent runs in an isolated environment. We don't train on your data, and you can export or delete everything at any time. The underlying engine (GoGogot) is open-source, so you can audit exactly how it works.

What can the agent actually do?

Browse the web, process files (CSV, PDF, images), run scheduled tasks, remember context across sessions, and communicate via Telegram or Slack. Think of it as a capable junior employee, not a chatbot.

How does memory work?

The agent maintains persistent memory across sessions. It remembers your preferences, past conversations, and task context. You can also explicitly tell it to remember or forget things.

Can I self-host the agent?

Absolutely. GoGogot is 100% open-source. Run it on your own hardware for free. cowork.ink is the managed version — we handle servers, model costs, updates, and uptime so you don't have to.

Is there a free trial?

We offer a 7-day money-back guarantee. Spin up an agent, give it real tasks, and if it doesn't save you time, we'll refund you — no questions asked.

What are some real examples of AI agents?

Real AI agent examples include code review agents that post inline PR comments, support agents that process refunds end-to-end, scheduling agents that coordinate across calendars, and sales agents that qualify leads and book meetings autonomously. See all 15 examples in our guide above.

How are AI agents different from regular automation?

Traditional automation follows rigid if-then rules. AI agents reason about goals, plan multi-step actions, use tools (APIs, databases, calendars), and adapt when things go wrong — without step-by-step human scripting. Learn more in our [AI agents vs. chatbots comparison](/blog/ai-agents-vs-chatbots/).

What industries use AI agents in 2026?

AI agents are used across software development, customer support, sales, HR, finance, e-commerce, healthcare, and legal. Any workflow with multi-step tasks and system integrations benefits from agentic AI.

Can small teams use AI agents?

Absolutely. AI agents are especially powerful for small teams because they multiply capacity without adding headcount. Platforms like cowork.ink let you deploy agents in minutes with no-code setup.

Are AI agents expensive to run?

Costs vary by model and volume. A typical AI agent handling 1,000 tasks/month costs $50–200 in API fees — far less than the human time it replaces. Most teams see 3× ROI within the first month.

15 Real AI Agent Examples That Actually Work in 2026

See 15 REAL AI agent examples working in production — from code review to sales outreach. No theory, just results. Explore now!

Frequently Asked Questions

What are some real examples of AI agents?: Real AI agent examples include code review agents that post inline PR comments, support agents that process refunds end-to-end, scheduling agents that coordinate across calendars, and sales agents that qualify leads and book meetings autonomously. See all 15 examples in our guide above.
How are AI agents different from regular automation?: Traditional automation follows rigid if-then rules. AI agents reason about goals, plan multi-step actions, use tools (APIs, databases, calendars), and adapt when things go wrong — without step-by-step human scripting. Learn more in our [AI agents vs. chatbots comparison](/blog/ai-agents-vs-chatbots/).
What industries use AI agents in 2026?: AI agents are used across software development, customer support, sales, HR, finance, e-commerce, healthcare, and legal. Any workflow with multi-step tasks and system integrations benefits from agentic AI.
Can small teams use AI agents?: Absolutely. AI agents are especially powerful for small teams because they multiply capacity without adding headcount. Platforms like cowork.ink let you deploy agents in minutes with no-code setup.
Are AI agents expensive to run?: Costs vary by model and volume. A typical AI agent handling 1,000 tasks/month costs $50–200 in API fees — far less than the human time it replaces. Most teams see 3× ROI within the first month.