AI agents are software programs that can plan, decide, and act autonomously to accomplish goals on your behalf. Unlike a chatbot that only responds to questions, an AI agent can break down a goal into steps, use tools and integrations, gather live information, and keep working until the job is done — all without you having to babysit every step. On AI Agent, you can build and deploy these agents visually, with no coding required. Give an agent a goal and the tools it needs, and it will work through your workflows automatically.

How do I build an AI agent without coding?

AI Agent is designed for exactly this. You describe what you want the agent to do, connect it to your tools (such as Gmail, Slack, Notion, HubSpot, or hundreds of others), and define when it should run — no code required at any step. The visual workflow builder lets you see the agent's logic as a clear diagram. You can adjust steps, add branching logic, and set approval checkpoints so a human reviews sensitive actions before the agent proceeds. If you can describe a task, you can automate it.

What's the best no-code AI agent platform?

AI Agent is purpose-built for teams who want the power of AI agents without needing an engineering team. It combines a visual agent builder, deep integrations with the tools you already use, and a durable workflow runtime that keeps agents running reliably even for long multi-step tasks. Unlike general-purpose automation tools that bolt AI on top, AI Agent is designed from the ground up around agentic workflows — meaning agents can reason, adapt, and handle edge cases rather than just following a fixed script.

How much does AI Agent cost? Is there a free plan?

AI Agent offers a free plan so you can build and test agents before committing to a paid tier. Paid plans unlock higher usage limits, additional integrations, team collaboration, and priority support. Visit our pricing page for the current plan details. We aim to keep pricing predictable — you should know what a workflow costs before you run it.

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.

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.

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.

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.

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.

How are AI agents different from chatbots?

A chatbot is reactive — it waits for a user to send a message and responds within that conversation. It has no persistent memory between sessions and cannot take actions outside the chat window. An AI agent is proactive and goal-directed. It can run on a schedule, be triggered by external events, use multiple tools in sequence, maintain memory across sessions, and work toward a multi-step objective without waiting for a human to prompt each step. In short: chatbots answer questions; AI agents complete tasks.

What are the common applications of AI agents in business?

AI agents are being used across every business function: - **Marketing:** Competitive analysis, content drafts, SEO monitoring, lead enrichment - **Sales:** CRM updates, personalised outreach sequences, deal summaries - **Customer support:** Ticket triage, draft replies, escalation routing - **HR:** Onboarding task coordination, policy Q&A, benefits summaries - **Finance:** Reporting, anomaly detection, invoice processing - **Product:** User research synthesis, feature request tracking, changelog drafts AI Agent lets you build agents for any of these use cases using a visual builder, no engineering required.

What types of AI agents are available on AI Agent?

AI Agent supports several agent types to match different use cases: - **Workflow agents:** Step-by-step automations that run on a trigger or schedule - **Research agents:** Gather, read, and synthesise information from the web and your connected tools - **Autopilots:** Recurring background agents that monitor signals and act when conditions are met - **Chat agents:** Conversational agents embedded in your product or internal tools All types share the same integration layer and can be combined — for example, a research agent that feeds findings into a workflow agent that drafts a report and sends it to Slack.

Can AI agents handle complex, multi-step tasks?

Yes. AI agents on AI Agent use a durable workflow runtime, meaning they can run long multi-step tasks that span minutes, hours, or even days — handling external API calls, waiting for human approvals, and retrying failed steps automatically. Agents can branch based on conditions, call sub-agents for specialist tasks, and maintain context across the whole workflow. This makes them suitable for complex processes like competitive research, content production pipelines, or sales sequence management that would be impractical to script manually.

Are AI agents safe? What are the guardrails?

Safety is built into the AI Agent platform at multiple levels: - **Human-in-the-loop checkpoints:** You can require a human to approve any action before the agent proceeds — essential for sending emails, publishing content, or making purchases. - **Scoped permissions:** Agents only have access to the integrations you explicitly grant. - **Audit trails:** Every action an agent takes is logged so you can review what happened. - **Sandboxed execution:** Agents run in isolated environments and cannot access anything outside their defined scope. You stay in control. Agents act as capable teammates, not unsupervised processes.

How do AI agents compare to traditional automation tools?

Traditional automation tools (like rule-based RPA or simple Zap-style triggers) follow rigid, pre-programmed paths. They fail silently when something unexpected happens — a field is missing, a page layout changes, or a decision requires judgment. AI agents can handle ambiguity. They understand context, interpret natural language instructions, adapt when situations change, and take intelligent next steps rather than crashing. They can also draft, summarise, and evaluate content — tasks that rule-based tools cannot do at all. The result: you can automate workflows that previously required a human because they involved nuance, not just data transfer.

What are the limitations of AI agents?

AI agents are powerful but not perfect. Current limitations include: - **Reasoning errors:** Agents can misinterpret ambiguous instructions or make incorrect inferences, especially in novel situations. - **Dependency on data quality:** An agent's output is only as good as the information it has access to. - **Cost per run:** Agent workflows consume LLM credits, so high-volume tasks need careful design to stay cost-efficient. - **Integration gaps:** Not every tool has a native integration; some workflows require custom setup. Best practice: start with high-value, well-defined workflows, add human review for sensitive actions, and iterate as you build confidence in the agent's output.

AI Agents:Get more done without doing more.

Imagine your best teammates, multiplied.
Working Smarter, Faster, and Stronger.
Taking care of the busywork—
so you can do your best work.

Create a team of AI agents that handle real work
Automate repetitive tasks — no training needed
Plug into tools you already use —
Train AI agents on your existing docs +.

Launch Your AI Team

Trusted by users at these companies

Used by students and researchers at

1Build.Build an agent with knowledge, live tools and guardrails.

Definition

What is an AI Agent?

AI agent

/ˈāˈˌī ˈā-jənt/ · noun

A software system that uses artificial intelligence (AI) to perform tasks, pursue goals, and make decisions autonomously. An AI agent acts on behalf of a user or organisation with minimal human input — connecting to external tools, reading live data, and taking approved actions to complete a job end to end. Unlike a chatbot that waits for each prompt, an AI agent plans a sequence of steps, executes them, and reports back.
Advanced usage: Intelligent systems that perceive their environment, apply reasoning and planning, and take autonomous actions to achieve outcomes. They combine large language models, persistent memory, tool use, and goal-directed behaviours — looping until the task is done or a human review gate is reached. Modern AI agent platforms wire these capabilities together so teams can delegate repeatable work without writing code.

“AI agents are software systems that use AI to pursue goals and complete tasks on behalf of users. They show reasoning, planning, and memory and have a level of autonomy to make decisions, learn, and adapt.”
— Google Cloud

Similar:

Use Cases

What can AI Agents do?

From funnel analysis and AI competitor analysis to AI email assistant drafting and pipeline review — each AI agent handles one job well, runs on your schedule, and hands results back for your approval.

Live preview · AI Operations Agent

Where are we losing users in onboarding?

AI Operations Agent

Thought for 4s · scanned 7 days of funnel events

PostHog

Stripe

Your funnel by step — the leak is clear:

Signed up

4,820

Profile

3,940−18%

Dashboard

3,210−19%

Connected

1,778−46%

Want me to draft a fix and open a ticket for the team?

Digging through dashboards every MondayThree ranked fixes, waiting before you're up

"It finds the leak before I even open PostHog." — Maya R., Founder

Live preview · AI Operations Agent

Where are we losing users in onboarding?

AI Operations Agent

Thought for 4s · scanned 7 days of funnel events

PostHog

Stripe

Your funnel by step — the leak is clear:

Signed up

4,820

Profile

3,940−18%

Dashboard

3,210−19%

Connected

1,778−46%

Want me to draft a fix and open a ticket for the team?

Digging through dashboards every MondayThree ranked fixes, waiting before you're up

"It finds the leak before I even open PostHog." — Maya R., Founder

And they don't stop at one.

Multi-agent teams

Agents that hand off to each other — research, analyze, then draft.

Scheduled autopilots

Set any agent to run daily, weekly, or on an event — delivered to you.

Build your own

Spin up an @agent for any #task, for your own purpose, in minutes.

Connect to 1,000+ apps

How every team uses it

One platform, every team, compounding value

Operators across every department put AI agents to work — the more teams adopt it, the sharper the whole organisation gets.

Growth & Analytics

What drove the MRR dip last week — churn or lower activation?

Funnel audits
Weekly activation-to-paid funnel breakdowns prepared from connected event data.
Churn signal monitoring
Flags at-risk accounts from PostHog usage and Stripe subscription signals.
Experiment briefs
Drafts hypothesis, success metric, and rollout plan from a one-line idea.
Weekly performance digest
Compiles KPI movements, anomalies, and recommended actions into one report.

Growth & Analytics

Live

@growth

What drove the MRR dip last week — churn or lower activation?

Churn drove it — activation held steady.

Churn+212%Activation+4%

Proof

Activation

Churn

PostHog funnel audit delivered

Playbooks

Build agents that run your playbooks

Your team designs the playbook once. Agents can run it on schedule, on demand, or after a trigger — scaling the work that used to take an entire team.

Brief Writer is drafting Monday's audit summary…0%

Every agent can call 800+ tools through direct integrations — web search, analytics, docs, and the rest of your stack.

Process

How do AI Agents work

From a single chat to full automation — put agents to work however you like, then let them run.

However you start, every agent runs the same loop

Connect → Brief → Work → Review

posthog

stripe

gmail

github

linear

notion

Connect your tools

Find 10 SEO keywords…

GoalKnowledgeTools

Brief the agent

2 of 3 done

Analyze competitors

Draft an outline

Write the post

It works autonomously

Draft ready · 10 keywords

Q4 SEO content plan

Review & approve

Every way to put them to work

Start simple → scale up

Chat

Tell an agent what you need in plain words — it can even open a ticket for the team.

Open a ticket for the CSV bug and include revenue impact

Ask the agent to draft, update, or file the work...

Context

Context that compounds across every run

Memory, knowledge, skills, and connections give agents the operational context they need: what happened before, what sources to trust, how work should run, and which tools they can use.

Memory

Context layer preview

memory

Weekly Growth Audit

Active

remembered

open loops

Run history

Last pass found activation leaking after workspace invite.

Pinned preference

Keep reports concise and bias toward measured deltas.

Operating context

Q2 sprint, onboarding focus, Monday exec update cadence.

Next run starts with

3 remembered decisions, 2 open questions, and the last recommended onboarding experiment.

Protected

Enterprise-grade security for every task

Every task your AI Agents complete is encrypted and protected by default. From automation to data handoff, your workflows are secured with enterprise-grade standards—so you can scale safely, without compromise.

End-to-end security for every task

Your AI Agents operate in a secure, encrypted environment. From task execution to data handling, every step is protected by default—so you can trust your AI workflows without compromise.

Agents that scale with your team

Whether you’re solo or 50 strong, AI Agents adapt to your workflow. Collaborate across workspaces, assign tasks to teammates, and grow operations—without the overhead.

Testimonials

What people say

See how AI Agents are transforming workflows and boosting productivity for users across the globe.

Over 61,392 users run their workflows on AI Agent. 57% of AI-handled support tickets are resolved automatically without human involvement, 72% of users report measurable productivity gains, and business customers see an average 3.5x return on investment.

As someone who was skeptical of AI tools, I'm completely converted. This has become an essential part of my workflow.

Neco

I was able to automate complex workflows that I thought would require custom development. The AI agent just gets it.

Joseph

61,392

users on AI Agent

As a developer, I appreciate the thought that went into this product. It's robust, reliable, and surprisingly intelligent.

Anton

The integration capabilities with my existing tools made adoption seamless. Every update brings new valuable features.

Charlie

57%

of AI-handled tickets resolved automatically

I was skeptical at first, but after using it for a week, I can't imagine working without it. Truly exceptional product.

Chris

The AI agent has completely transformed our workflow efficiency. It handles complex tasks with remarkable accuracy and saves us hours every day.

Kamil

Wow! Such a beautiful and intuitive solution to make AutoGPT usable for everyone. Been playing with it for a bit and immediately subscribed. Great job and looking forward what you'll add in the future.

Dom

I've recommended this to everyone on my team. The ROI is immediate and the learning curve is practically non-existent.

Frank

This is genuinely so cool ... I have no idea what you did on the backend of things but it is so fine-tuned to exactly what I was hoping it to make and it did it on the first try.

Ari

72%

of users report improved productivity

Incredible tool that has transformed how I handle my daily tasks. The AI agent understands exactly what I need and delivers consistently.

Sander

Finally, an AI solution that actually delivers on its promises. This has saved me countless hours on research and content creation.

Per Magnus

The interface is sleek and the AI is surprisingly capable. I've tried many AI tools but this one stands above the rest.

Phuc

The speed and accuracy of the AI agent is impressive. It's like having a skilled assistant available 24/7.

Lucas

This tool has drastically improved my productivity. What used to take hours now takes minutes. Absolutely worth every penny.

Leo

Using this AI agent has been a game-changer for my small business. It handles customer inquiries better than I could have hoped.

Marek

The most impressive part is how it learns and adapts to my specific needs over time. It feels like it was built just for me.

3.5x

average ROI for business customers

FAQ

Frequently Asked Questions About AI Agents

Everything you need to know about AI Agent — the platform that puts AI agents to work across research, content, sales, support, and more, one task at a time.

AI Agents:Get more done without doing more.

Imagine your best teammates, multiplied.
Working Smarter, Faster, and Stronger.
Taking care of the busywork—
so you can do your best work.

Create a team of AI agents that handle real work
Automate repetitive tasks — no training needed
Plug into tools you already use —
Train AI agents on your existing docs +.

Launch Your AI Team

AI Agents:Get more done without doing more.

Imagine your best teammates, multiplied.
Working Smarter, Faster, and Stronger.
Taking care of the busywork—
so you can do your best work.