> ## Documentation Index
> Fetch the complete documentation index at: https://aitextura.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# What to assign an agent
> Five areas where people usually start: content, money, email and requests, scheduled work, and code. With example task wording.
The hardest part of having an agent is figuring out what to hand it. Below are five areas where it pays off fastest, with real examples of task wording you can send to the chat almost word for word.
The general rule: hand over what you do manually on a regular basis, following the same routine. A one-off task from scratch is work for you, not for the agent.
## Content
The agent keeps an idea bank and turns ideas into ready-made posts.
| What you do | What the agent does |
| --------------------------------------------------------- | ----------------------------------------------------- |
| Record your thoughts as voice messages throughout the day | Transcribes them and adds them to the idea bank |
| Write "I need a post about X" | Pulls an idea, expands it into text, and picks images |
| Share your channel archive | Learns from it and writes drafts in your style |
| Ask it to run a publishing calendar | Keeps the plan and reminds you what goes out tomorrow |
> Take my voice messages from this week, pull three post ideas, and expand the best one into a 1,500-character post.
## Money
The bookkeeping people usually put off until the end of the month.
| What you do | What the agent does |
| ---------------------------------------- | -------------------------------------------------------------- |
| Send photos of receipts and invoices | Sorts them into categories and keeps a spreadsheet |
| Ask where the money went | Sends a weekly summary and shows where the budget slipped |
| Provide a list of customers and payments | Tracks outstanding balances and reminds those who haven't paid |
> Every Friday at 6:00 PM, send me the week's expenses by category and a separate list of unpaid invoices.
## Email and requests
Your inbox sorted without you.
| What you do | What the agent does |
| -------------------------- | ------------------------------------------------------------------------------------------- |
| Give access to your email | Filters out newsletters and surfaces what needs a reply today |
| Show your standard replies | Drafts responses from your template — all you do is hit send |
| Forward a new request | Logs it in a spreadsheet, sets a status, and reminds you if it's been silent for three days |
## Schedule
Explain it once, and from then on it does the job on its own, without reminders. This is what sets an agent apart from any AI chat.
| Job | When |
| ------------------------------------------------------------------------ | -------------------- |
| Morning brief: weather, today's meetings, important emails, urgent tasks | Every day at 8:00 AM |
| Summary of expenses, requests, and tasks for the next week | Fridays |
| Latest news and mentions on your topic | Every morning |
| Price check on competitor pages | Every hour |
Set this up on the [Schedule](/en/agents/schedule) tab.
## Code and sites
The agent writes code, publishes it, and keeps it running — no server or deployment on your side.
* Everything it puts in the `site/` folder is instantly available online at the agent's address — you can ask it to build a landing page or an internal dashboard right in the chat. See [Sites](/en/agents/sites).
* Small tools for yourself — a task manager, a calculator, a request form — get built through a regular conversation in Telegram.
* Recurring scripts: processing exports, scraping pages, converting spreadsheets.
## What else people assign
The agent is connected to work chats and checks managers' replies against your guidelines around the clock. It's a QA department that never gets tired and never goes easy on colleagues.
A real example: ten clubs with courts, no free slots. The agent checked the websites every few minutes and grabbed a slot the moment someone canceled, then messaged the coaches and agreed on a time itself. Swap the court for a supplier and the coach for a contractor — the mechanics are the same.
Before you put money into development, the agent combs through open repositories and the market to assess how crowded the niche is: a list of existing solutions often saves the team weeks of work.
Once you have more than one agent, split them by topic: one collects data, another writes text, a third sends reminders. Within a single agent, [personas](/en/agents/team) do the same.
Tracking meals from a photo of your plate, a voice-note journal, a study plan from textbook photos, a schedule for kids' activities. The limit here isn't technical: just don't pile everything onto one agent.
## Where to start
Pick one task you do manually every week and hand it over completely. Not five at once — [memory is finite](/en/agents/personality), and an agent with five areas of responsibility performs worse than one with a single area.
The ready-made roles in the wizard are already set up for these scenarios: **Automator**, **Finance Assistant**, **SMM Manager**, **Morning Briefing**. See the full list in [Roles](/en/agents/roles).
## What's next
Three wizard steps and deployment in a minute
25 ready-made roles — personality and first tasks fill in automatically
Scheduled jobs: the agent runs them without you
What it does poorly and how to catch it