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.

No — traditional RPA is rule-based scripting, not AI. It follows rigid if-then instructions and cannot learn or adapt. Modern RPA platforms are adding AI components (like OCR and NLP), creating a hybrid called Intelligent Process Automation (IPA), but pure RPA has no machine learning.

Is RPA being replaced by AI automation?

Not entirely replaced — but steadily displaced for complex tasks. IDC projects global RPA spending to reach $8.2 billion by 2028, with most growth coming from AI-augmented RPA rather than classic bots. For rule-stable, high-volume processes RPA still makes sense; for everything else, AI agents handle it better.

When should I use RPA vs. AI automation?

Use RPA when your process is predictable, structured, and rarely changes (data entry, invoice processing from fixed templates). Use AI automation when the process involves unstructured data, exceptions, or judgment calls — customer service, document intelligence, or dynamic workflow routing. See our [workflow automation guide](/blog/workflow-automation-software/) for a deeper breakdown.

Can RPA and AI work together?

Yes. Many organizations use a hybrid approach where RPA bots handle the repetitive structured layer while AI agents manage exceptions, decisions, and unstructured inputs. Platforms like [cowork.ink](https://cowork.ink) let teams orchestrate both in a single shared workspace.

What is agentic process automation?

Agentic process automation (APA) is the tier beyond Intelligent Process Automation — AI agents that autonomously plan multi-step workflows, adapt to new situations, and coordinate with other agents without human micromanagement. It is what fully replaces the brittle-bot pattern.

AI Automation vs. RPA: Why Intelligent Agents Are Replacing Bots

RPA bots follow rules. AI agents reason. Discover the KEY differences between AI automation and RPA — and when to use each. Compare now!

Frequently Asked Questions

Is RPA a form of AI?: No — traditional RPA is rule-based scripting, not AI. It follows rigid if-then instructions and cannot learn or adapt. Modern RPA platforms are adding AI components (like OCR and NLP), creating a hybrid called Intelligent Process Automation (IPA), but pure RPA has no machine learning.
Is RPA being replaced by AI automation?: Not entirely replaced — but steadily displaced for complex tasks. IDC projects global RPA spending to reach $8.2 billion by 2028, with most growth coming from AI-augmented RPA rather than classic bots. For rule-stable, high-volume processes RPA still makes sense; for everything else, AI agents handle it better.
When should I use RPA vs. AI automation?: Use RPA when your process is predictable, structured, and rarely changes (data entry, invoice processing from fixed templates). Use AI automation when the process involves unstructured data, exceptions, or judgment calls — customer service, document intelligence, or dynamic workflow routing. See our [workflow automation guide](/blog/workflow-automation-software/) for a deeper breakdown.
Can RPA and AI work together?: Yes. Many organizations use a hybrid approach where RPA bots handle the repetitive structured layer while AI agents manage exceptions, decisions, and unstructured inputs. Platforms like [cowork.ink](https://cowork.ink) let teams orchestrate both in a single shared workspace.
What is agentic process automation?: Agentic process automation (APA) is the tier beyond Intelligent Process Automation — AI agents that autonomously plan multi-step workflows, adapt to new situations, and coordinate with other agents without human micromanagement. It is what fully replaces the brittle-bot pattern.