AI agents by Textie

Build AI agents that turn goals into finished work

Create autonomous AI agents that plan tasks, use your knowledge and carry out repeatable workflows. You set the objective and the guardrails. Your agent handles the steps in between.

Create an AI agent See how AI agents work
Trustpilot stars
4.5 out of 5 by our users
Research agentWorking
GoalPrepare a competitor brief for Monday's planning session
Identify relevant competitors8 companies reviewed
Compare products and positioningKey differences organized
Build the final briefWriting an executive summary
Next checkpointReview required before sharing
Human approval
From prompt to process

What is an AI agent?

An AI agent is software that works toward a goal with a degree of independence. Unlike a standard chatbot that waits for each new prompt, an agent can plan a sequence of actions, use connected information and continue until it reaches a result or needs your approval.

AI chatbot

Answers one request at a time

You ask a question, receive a response and decide every next step yourself.

AI agent

Works toward a defined outcome

You set the goal once. The agent plans, acts, checks progress and returns the completed work.

Built for real workflows

Give your AI agent the context to do useful work

Useful agents need clear instructions and the right information. Textie keeps both in one place, along with the controls your team needs.

Plan multi-step work

Give your agent an objective. It breaks the work into practical steps and chooses what to do next as the task develops.

Work with your tools

Connect the services your team already uses so agents can find information, update records and move work forward.

Use your knowledge

Let the agent refer to your documents and instructions, so its work reflects how your team operates.

Run on a schedule

Launch recurring work automatically or let agents respond when a new request, file or business event arrives.

Ask for approval

Keep important decisions in human hands. Define checkpoints where an agent must pause and request a review.

Track every action

Follow the work as it happens and check the result before you approve it or use it again.

AI agent examples

Start with work your team repeats every week

The best agent workflows have a clear goal, recognizable inputs and an output you can review.

Agent runningLive example
Assigned goalCompare five leading project management tools for a 40-person product team.
Market and competitor researchCompleted
Source summariesCompleted
Decision-ready reportsCompleted
Result prepared23 sources reviewed

A structured six-page brief with a feature matrix, pricing notes and five cited recommendations.

TMAKReady for review
AI agent workflow dashboard
Agent statusReady for review
How to create an AI agent

From an idea to a reliable workflow

Start with one well-defined process. You can expand what the agent does after you have reviewed its first results.

  1. 1

    Define the goal

    Describe the outcome, available information and boundaries in plain language.

  2. 2

    Add knowledge and tools

    Choose what the agent can reference and which actions it is allowed to take.

  3. 3

    Set the guardrails

    Decide when the agent can proceed and where a person needs to approve the work.

  4. 4

    Run, review and improve

    Inspect the result, refine the instructions and reuse the workflow whenever you need it.

Autonomous, not unsupervised

Stay in control of important decisions

Decide what each agent can access, which actions it may take and when it must stop for approval. Clear boundaries make autonomous work easier to trust and improve.

Permission boundariesLimit the information and actions available to each workflow.
Approval checkpointsRequire a person to review sensitive or irreversible steps.
Visible progressSee the current state, completed actions and final output.
Your next workflow can run itself

Create an AI agent around the way you work

Choose a task, define a useful result and let Textie handle the routine steps.

Frequently asked questions

Let's clarify some of your questions

An AI agent is software that can plan and carry out a sequence of actions to reach a goal. Instead of responding to one prompt at a time, it can use instructions, connected knowledge and available tools to continue working until the task is complete or human input is required.
A chatbot responds to messages one at a time. An AI agent works toward a result and can continue through several steps. You may use a chat to give it instructions or check its work, but the workflow does not depend on a new message at every stage.
AI agents can take on repeatable work such as research, content preparation, request sorting, document checks and reporting. Start with a task that has a clear goal and a result someone can review.
No. You can define an agent's objective, instructions and boundaries in plain language. Technical integrations may require additional setup, but creating a useful workflow does not require you to write code.
Yes, within the limits you define. An agent can plan and complete approved steps independently, while sensitive decisions can be protected by human approval checkpoints. This lets you automate routine work without giving up oversight.
Give the agent only the access it needs. Write clear instructions and require approval for important actions. Start with a narrow workflow, review the results and add more responsibility gradually.
Choose a small task you repeat often, such as preparing a weekly research brief, sorting incoming requests or turning one piece of content into several formats. A focused process is easier to test, measure and improve than a broad agent with many responsibilities.