A simple definition#
An AI agent is a program that combines three things: a language model that can understand an instruction and write, tools it can use (your email, a spreadsheet, a CRM, the web, a PDF generator), and a decision loop that lets it chain actions together until the task is done.
In practice, you don't describe every click. You give it a goal, for example "every Monday, follow up on quotes that have gone unanswered for ten days and send me the list of the ones that replied". The agent reads your quotes, picks out the ones concerned, writes a follow-up tailored to each customer, sends it from your address, then reports back. If a quote has been signed in the meantime, it notices and doesn't send a reminder.
This ability to adapt the steps to the situation is what makes the difference. An agent doesn't just run a fixed recipe: it reads, compares, decides, and stops when the work is done.
AI agent, chatbot, automation: three different tools#
The three terms are often mixed up. Yet they answer different needs.
| Chatbot | Classic automation | AI agent | |
|---|---|---|---|
| Starting point | A question you ask | A specific trigger ("new form received") | A goal, a schedule or an event |
| What it does | Answers in the conversation | Runs a sequence of steps set in advance | Chooses the steps, uses your tools, produces a deliverable |
| When something unexpected happens | Asks you to rephrase | Stops or throws an error | Adapts its approach, or tells you what is blocking |
| Who does the work | You, with its help | The machine, along a single path | The agent, on its own, then you approve if needed |
A chatbot is someone to talk to: it waits for your question, answers it, and does nothing once you close the window. It is very useful for thinking or writing, but you are the one who copies the result into your tools.
Classic automation ("if this, then that") is reliable as long as the situation looks exactly like what was planned. It moves an attachment into a folder or adds a row to a spreadsheet. As soon as it has to read a text, judge a priority or write a reply that depends on context, it reaches its limits.
An AI agent sits between the two: it works without you, like an automation, but it understands the content it handles, like a chatbot. That is what makes it possible to hand over tasks that used to need a person to "look and decide". To go further, the glossary defines each term.
How an AI agent works#
Whatever the tool, an agent follows the same cycle.
- A trigger starts it: a set time (every morning at 7 a.m.), an event (an email received, a form submitted, another agent finishing its work), or your request.
- It gathers context: your instructions, what it remembers from previous runs, the documents you have given it, the data in your tools.
- It acts by calling its tools: reading an inbox, searching the web, filling in a table, calculating, writing.
- It produces a deliverable: an email sent, a PDF report, an Excel file, a row added to a table, a draft for you to approve.
- It reports back: a log shows what it did, step by step, and alerts you if there is a problem.
The quality of an agent depends less on the language model than on how precise its mission is: which sources to read, which rules to follow, when to stop, who to send the result to. That is why Future Agent always starts with questions.
What Future Agent does for you#
With Future Agent, you don't assemble an agent piece by piece. You describe the task in a chat, in a single sentence, on the website or on WhatsApp. An AI architect takes it from there:
- it only asks the questions that matter (your sources, your schedule, your recipients, your rules);
- it asks for access to the tools it needs, with one-click connections to more than 1,600 apps (see the connectors);
- it shows you a sample result before you commit to anything;
- it quotes a fixed monthly price, based on how complex the task is: from €3, with most agents between €9 and €49 per month (see pricing).
Once launched, the agent runs on its own: on a schedule, on demand, or after another agent. You follow its runs, its files and its subscription in the dashboard. Each building block is detailed on the features page.
If you would rather start from something that already exists, the library offers more than 300 agent templates organized by industry and by role, priced in advance. The architect then only asks the questions that are specific to you.
Examples of AI agents, from the simplest to the most complete#
Morning press review. Monday to Friday at 7:30 a.m., the agent reads the sources you chose, keeps the articles that matter for your business and sends you a summary in three sections, with a link to each article. Template: Morning press review.
Quote follow-up. The agent reads your quote tracker, spots the ones that have been waiting for five business days and sends a short follow-up from your Gmail; a second follow-up goes out a week later, and then it stops. Template: Quote follow-up.
Appointment reminders. The day before, the agent reads the next day's calendar and sends a reminder to each patient, with the address and a way to let you know if they can't come, without any medical information. Template: Patient appointment reminders.
VAT preparation. Before each deadline, the agent calculates output and input VAT from your invoicing software, lists the supporting documents and sends you a table ready to transfer. Template: VAT preparation.
A website built and kept up to date. A project agent builds the site, shows you a preview, applies your changes and then hosts it. Template: Showcase website.
Several agents handing work to each other. A first agent collects new Google reviews every evening, a second prepares a personal reply to each one, and a third sends the monthly summary: average rating, recurring topics, actions to take. Template: Customer reviews, replies and summary.
More examples, organized by business, are gathered in the use cases by industry.
What you are better off not handing to an agent#
An AI agent is effective on tasks that are repetitive, well described and verifiable. It is much less so when the decision carries significant responsibility or depends on a human relationship.
- Irreversible decisions: a payment, a signature, deleting data. Future Agent never makes a real purchase without your explicit permission and a spending cap.
- Automated cold outreach: on social media, the agent prepares drafts for you to approve, rather than writing to strangers on its own.
- Personalized medical, legal or financial advice: an agent can organize a practice, prepare a file or monitor a topic, but it does not replace a professional's opinion.
- Tasks nobody can describe: if you can't explain what a "good result" is, the agent won't be able to either. Start with a simple version, then refine it.
A good rule is to start with a task whose result you can check at a glance, and let the agent earn your trust run after run.
Where to start#
For a week, note down the tasks that keep coming back: the ones you do every morning, every Monday or for every new customer. Pick one that takes time without requiring real thought. Then describe it to the architect the way you would explain it to a new colleague: what to look at, what to produce, who to send it to.
The articles go into specific cases, profession by profession, and methods for choosing your first automations.