Software that doesn't just respond — it acts. Perceiving, reasoning, and executing tasks autonomously.
AI agents are autonomous software systems that perceive their environment, reason about goals, take actions using tools, and iterate until a task is complete. Unlike chatbots that just respond, agents do things — write code, browse the web, manage files, and coordinate with other agents.
Imagine giving a colleague a task: “Research our competitors and write a summary report.”
A chatbot would ask you to paste in the competitor data, then help you write the report piece by piece.
An AI agent would open a browser, find the competitors, visit their websites, extract key information, organise it, write the report, and deliver it to you — all autonomously.
That's the difference: agents have agency. They don't wait for each instruction — they figure out the steps themselves.
Click each agent to see its capabilities.
The agent observes its environment — reading files, APIs, messages, or web pages.
It analyses the situation, breaks down the goal into steps, and plans an approach.
It executes actions — writing code, calling APIs, browsing, or communicating.
It evaluates the result, adjusts its approach, and iterates until the goal is met.
Our team of 5 AI agents — each specialised in research, design, review, outreach, and strategy — built 7 bespoke business websites in a single night. Each site had unique designs and real data.
AI review agents read every pull request, check for bugs, security issues, and style violations, then leave detailed comments — all before a human reviewer even looks at it.
Research agents browse dozens of websites, extract structured data about businesses, and produce comprehensive lead profiles — work that would take a human analyst hours.
AI agents are software programs that can independently perceive their environment, make decisions, and take actions to achieve specific goals — without needing step-by-step human instructions for every action.
Chatbots respond to messages in a conversation. AI agents go further — they can use tools, access files, browse the web, run code, and take multi-step actions autonomously. A chatbot answers questions; an agent completes tasks.
Examples include Claude Code (writes and tests software), Devin (autonomous software engineer), AI research agents that browse and synthesise information, and multi-agent teams that coordinate to build entire websites.
Yes, with proper guardrails. Best practices include sandboxed execution environments, human review checkpoints, limited permissions, and audit logging. The key is keeping humans in the loop for critical decisions.
AI agents are becoming increasingly accessible. Tools like Claude, ChatGPT, and no-code platforms allow non-technical users to leverage agents. However, building custom agent workflows still benefits from technical knowledge.
Ship your next project in a 2-week agentic development sprint. Real results, not experiments.