---
title: "Talos Product Manual: From a One-Line Requirement to a Deliverable Finished Product"
description: "An article explaining how to use Talos: how to choose models, deliver files, operate the browser, implement four scenarios, and a three-step guide to get started."
canonical: https://taloswork.ai/en/blog/talos-user-manual
language: en
last_updated: 2026-11-04
date_published: 2026-11-04
category: "产品"
---

# Talos Product Manual: From a One-Line Requirement to a Deliverable Finished Product

# Talos Product User Guide: From a One-Sentence Request to a Deliverable Finished Product

## Project Background

Talos is quick to pick up, but long-time users will find that a few things truly set you apart: when to switch models, how to deliver files, and how to let the browser operate on your behalf. This information is scattered across update notes and case studies, and new users often spend a lot of time piecing it together.

So we created a product user guide, bringing features, parameters, scenarios, and usage suggestions together, organized in the order of "Capabilities → Scenarios → Tips." Below is a distilled version from the guide. You can start using it immediately after reading.

## What is Talos

Talos is an out-of-the-box AI Agent. You give it a one-sentence request, and it will autonomously look up information, create files, draw images, and write code, handling everything from work to personal creative projects.

Its difference from a chat box lies in delivery: when the task ends, you get a file that can be opened, forwarded, and further edited, instead of a reply you need to reorganize yourself.

## Three Steps to Get Started

### Step 1: Download and Log In

Download the installation package from the official website, available for both Windows and macOS. Log in after installation. Mainstream domestic and international models are ready to use out of the box, with no additional network environment configuration required.

### Step 2: Create a New Session

One session corresponds to one task. Create one for competitive research and another for writing an article. Sessions do not interfere with each other, and history records and outputs are archived by session.

### Step 3: Clearly State the Task

A one-sentence request is enough to start, but it's much better to clarify three things: what result you want, who the audience is, and whether there are format requirements. For example, "Break this 57-page courseware into 11 knowledge points, create one note and one card for each point, and finally assemble an overview diagram" is far more effective than "Help me organize the courseware."

## Four Core Capabilities

### 1. Models: Choose by Task, Not by Price

Talos currently includes 10 text models, 5 image models, and 5 video models. Text models are broadly divided into three tiers:

| Tier | Representative Models | Suitable For |
| --- | --- | --- |
| Strongest | sonnet-5.5 | Writing files, doing analysis, editing code |
| High Cost-Effectiveness | deepseek-flash, gemini-3.8-flash, glm-5-3 | Batch cleaning, format conversion, field extraction |
| Lightest | gemini-3.5-flash-lite | One-sentence Q&A, typo correction, tagging and classification |

Among image models, gpt-image-2.5-sunburst is the default. It supports 1K or 2K, five quality levels, transparent backgrounds, and up to 4 images at a time. Use it when you're unsure what to pick. For large formats, image editing, or maintaining character consistency, switch to gemini-3.1-flash-image, which supports up to 4K.

For video models, Seedance 2.0 is the default, supporting 5-second or 10-second clips, 480p to 1080p; Veo 3.1 supports 4, 6, and 8-second clips, with aspect ratios selectable between 16:9 or 9:16.

Another often overlooked parameter is the thinking level. Set it low for simple tasks—faster and cheaper. Use the medium level for daily coding. Set it high for multi-file refactoring, hard-to-debug bugs, and architectural decisions.

### 2. Files: Upload, Analyze, Deliver

Files can be directly placed into the session window. PDF, Word, PPT, images, and spreadsheets can all be read. Outputs are also delivered as files. Talos will present the file in front of you, supporting copying and sharing.

Additionally, there is a file delivery portal that aggregates all files produced in historical sessions, essentially giving you a continuously accumulating finished product library.

### 3. Browser: Access the Real Internet

The built-in browser can open web pages, read content, click and operate, scroll to collect data, and download files. For sites requiring login, the page will be handed over to you for manual completion, after which it will continue execution.

A typical use case is competitive research: open a store page, grab product titles, prices, sales volumes, and review counts, organize them into a structured table, and then analyze. You can see what it's doing throughout the entire process.

### 4. Memory: Understands You Better Over Time

Talos records three types of information: site structures, personal preferences, and reusable processes, all saved locally. It remembers long-term preferences, project backgrounds, and hard constraints, but not temporary requirements for a single task.

This means you don't need to repeat the background the second time you do a similar task.

## Four Typical Scenarios

### Study

Read papers, convert courseware, organize videos, write lab reports. With one sentence down, the output is reviewable material, not just an explanation.

### E-commerce

Product selection research, competitive analysis, negative review mining, listing copywriting. A typical task is to open a platform page, grab data, make comparisons, and produce a report.

### Self-Media

A single pipeline from topic selection to finished product:

| Task | Input | Output |
| --- | --- | --- |
| Product Promotional Video | One-sentence request and product screenshots | A 52-second 1080p finished video, with subtitles and soundtrack |
| Image-Text Material | A use scenario or product selling point | A set of image-text cards and matching copy |
| Long Video Clip Extraction | A 17-minute video | 578 timestamped subtitles, SRT, and 2 clips with audio |
| Industry Content | One-sentence request | An 18-page editable PPT, a PDF of the same version, and speaker notes |

### Design and Creation

Game art assets, character and scene images, 3D furniture and product visuals, shoe designs and posters. The focus is style consistency: batch generation under the same set of descriptions, rather than adjusting one by one.

## Three Usage Tips

### Conclusion First

When you need a report or proposal, state the conclusion first, then provide the evidence. You can write directly in the request: "Give a one-sentence judgment first, then list three pieces of evidence." The readability of the output will be much higher.

### Minimize Model Switching During Long Tasks

Switching models resets the prompt cache, meaning the next round will re-ingest the full conversation history at full cost, potentially leading to a significantly higher bill. If you must switch, do it in a new session or early in the conversation.

### Ask with Examples

When unsure how to write a request, directly paste in a similar case study or a sample output and ask it to follow suit. This is more effective than repeatedly describing the format.

## Frequently Asked Questions

**Q: Do I need to configure the network environment separately?**

A: No. After installation, you can log in and use it. All major domestic and international models are already connected.

**Q: Will my files be uploaded to the cloud?**

A: Site structures, personal preferences, and process records are saved locally. Content that needs to be processed by a model will be sent along with the request to the model service you've chosen.

**Q: Where can I find the produced files?**

A: You can open them directly in the current session's directory. Historical outputs are uniformly accessible in the file delivery portal.

**Q: What if having more models makes it harder to choose?**

A: Choose by task tier: for quality, use the strongest tier; for speed, use the light tier; for batch processing, use the high cost-effectiveness tier. When uncertain, run one round with the default model first, then switch based on the results.