AI AgentTwórz własne zespoły AI Agent, które automatyzują zadania i samodzielnie realizują prawdziwą pracę.

What can AI agents actually do?

AI agents on AI Agent can handle a wide range of tasks across every team function: - **Marketing:** Research competitors, draft campaign briefs, monitor brand mentions, generate SEO content - **Sales:** Qualify leads, enrich CRM records, draft personalised outreach, follow up on open deals - **Operations:** Triage support tickets, summarise meetings, route tasks, generate status reports - **Product:** Analyse user feedback, track feature requests, synthesise research from multiple sources - **Finance:** Pull data from dashboards, flag anomalies, draft expense summaries If it involves gathering information, making a decision, and taking an action — an AI agent can do it.

Asked by Boris Yankov · Jul 31, 2025

Does AI Agent train models on my data? Is my data safe?

No — AI Agent does not use your data to train AI models. Your workflows, documents, and any data your agents process remain private to your account. All data is encrypted in transit and at rest. Access controls mean only members of your organisation can see your agents and their outputs. We do not share your data with third parties or use it to improve AI models. For teams with stricter requirements, enterprise plans include additional controls such as audit logs and SSO.

Asked by Greta Nowak · Jul 17, 2025

How do AI agents connect to the tools I already use?

AI Agent connects to hundreds of tools through native integrations and the Model Context Protocol (MCP), an open standard for giving AI agents access to external systems. You authenticate once per tool (OAuth or API key), and your agents can then read and write to those systems as part of any workflow. Common integrations include Gmail, Google Calendar, Slack, Notion, HubSpot, GitHub, Stripe, PostHog, and many more. New integrations are added regularly.

Asked by Willa Thompson · Jul 17, 2025

AI Agent vs Zapier or Make — what's the difference?

Zapier and Make are trigger-action automation tools — they follow rigid if-this-then-that rules. They're great for simple, predictable workflows but break down when conditions are ambiguous or tasks require judgment. AI agents go further: they can reason about what to do next, handle unexpected situations, draft and review content, and make decisions mid-workflow without human intervention. Think of Zapier as a relay race with fixed handoffs, and an AI agent as a team member who can figure out what to do when something unexpected happens. AI Agent is best for workflows that require intelligence, not just routing.

Asked by Rasheed Osman · Jul 7, 2025

What's the difference between AI Agent and ChatGPT?

ChatGPT is a conversational large language model — you type a message, it replies. Interactions are one-shot; it cannot take actions in the world or run tasks on your behalf between conversations. AI Agent is an AI agent platform. You define goals and workflows, and agents execute them autonomously using tools, integrations, and live data — not just a static knowledge cutoff. Where ChatGPT answers questions, an AI Agent gets things done. Under the hood, AI Agent agents use frontier models (including GPT-4 class models) as their reasoning engine, so you get the language capability of ChatGPT plus the ability to actually act on the world.

Asked by Sanjay Gupta · Jul 10, 2025