Aila (AISuperDomain): one prompt, many AI answers on Windows, macOS and Android

The problem Aila targets: one question, many chat tabs

Anyone who compares AI answers by hand ends up with the same routine. Open ChatGPT, paste the question, switch tab, paste again, switch tab. The comparison itself is trivial; the copying is not. Aila collapses that loop into one window. You type a question once, and the app shows the answers from the models you selected side by side.

The README lists more than twenty supported services, including ChatGPT, Gemini, Claude, Copilot, Poe, Perplexity, HuggingChat, Coze, Grok, ChatGLM, Kimi Chat and Wenxin Yiyan. The audience is not a backend team wiring model calls into a service. It is a person at a desk who wants several opinions on the same prompt and does not want to manage the tabs. Aila is a desktop application built with .NET MAUI, and the repository carries the XAML pages, C# classes and platform folders that go with that choice.

One thing worth stating plainly: the value here is convenience, not capability. Every answer Aila shows is produced by the underlying service under that service's own account, limits and terms. Aila does not add a model of its own.

How Aila fans a prompt out to multiple AI sites

The repository layout tells you most of the mechanism. There is a WebViewManager.cs, a CurrentAi.cs, a Prompts.cs and an AiConfig.cs at the top level, plus MainPage.xaml, ConfigPage.xaml and SettingPage.xaml. That is the shape of an app that hosts web views for each AI site, tracks which one is currently active, and reads a list of AI definitions from configuration.

So the data flow is not an API fan-out. Aila renders the vendor chat pages, injects your prompt into the input element of each page, and displays the resulting answers in a grid. The README confirms the configuration angle directly: the Config File option in the fly-out menu opens Aila's JSON configuration file, where users can add new AI models, modify prompts, and personalize the experience. The repository also ships config.json, test.json and several version notes (v2.0.txt through v2.3.txt) at the top level.

That design explains both the breadth and the fragility. Breadth, because adding a service is a matter of describing its input box rather than implementing an SDK. Fragility, because when a site changes its markup, the injection can stop working until the configuration is updated. The README anticipates exactly this: it tells users to inspect the input box HTML with the browser devtools, send that HTML to ChatGPT, and ask it to write a generic script. That is a workflow for people willing to tinker, and it is honest about what the app depends on.

Installing Aila on Windows and macOS

The README does not describe a build-from-source path. It points to the releases page, so the intended route is a downloaded build rather than a package manager. For macOS, the README says to double-click the downloaded file and follow the on-screen instructions.

Windows has two prerequisites before the installer runs. The README states that Windows users must ensure .NET 8 is installed, and that they must install the provided certificate before proceeding with the Aila installation. Check both before you start.

Once the app is open, the first real task is choosing which models appear. The fly-out menu behind the top-left icon holds the settings; the README describes selecting preferred AI models and adjusting the display count there, with options of 1, 2, 3, 4 or 6 simultaneous responses.

If you want to see the shape of the configuration before opening the app, the repository's config.json is the file the README refers to when it says the Config File option leads to Aila's JSON configuration file. The README does not publish a schema for it, so treat the shipped file as the reference and edit a copy first.

# Windows prerequisites, per the README:
# 1. install .NET 8
# 2. install the provided certificate
# then run the downloaded Aila installer

Prompts, shortcuts and the display grid

The interaction model is small enough to learn in a minute, and the README documents the pieces. Typing a forward slash at the start of the input opens a list of prompt suggestions. A hash at the start of the input activates a persistent prompt, which stays available for continuous use. Submission is Tab plus Enter, or the Submit button. A Switch button cycles through the displayed models.

The display count is the setting that matters most in daily use. Two models side by side is a comparison; six is a wall of text. The README offers 1, 2, 3, 4 or 6, and full-screen mode is available by clicking an AI's name in the top-right corner, with a Home button to return to the grid. That full-screen view is the practical answer to reading long answers in a narrow column.

Prompts.cs in the repository suggests the prompt suggestions are defined in code rather than only in configuration, which is a mild inconsistency given that the README frames prompts as something you modify through the JSON config file. Neither file's contents are given, so how the two interact is not something the README settles.

Where Aila breaks, and when it is the wrong tool

The central limitation is the one the architecture guarantees. Aila depends on the web pages of services it does not control. When an input box is renamed, moved or wrapped in a new component, prompt injection for that service can fail, and the README's suggested remedy is manual: inspect the element, hand the HTML to ChatGPT, ask for a script. There is no vendor commitment to keep those pages stable, and no indication in the README of a maintained set of selectors that tracks upstream changes.

Accounts and quotas are a second boundary. The answers come from your sessions on each service, so whatever rate limits, regional availability or login requirements those services impose still apply. Aila does not route around them.

Then there is the automation question. If you need to call models from a script, run in CI, or process thousands of prompts, this is the wrong shape of tool. The README documents a GUI, a JSON config file and releases for Windows, macOS and Android, and no API or CLI. The repository name appears in a topic list that includes autogpt and stable-diffusion, but that is repository tagging, not a described integration.

Finally, the release history is worth reading before you commit. The listed releases are v0.1, v1.0 and v1.1, all dated March 2024. The last push to the repository was on 2026-08-09, so the code has moved since those releases, but the README does not explain how a user gets a build newer than v1.1. That gap between repository activity and published artifacts is the thing to resolve before standardising on Aila.

Aila compared with an API aggregator like OpenRouter

The obvious alternative is an API aggregator, and the difference is not a matter of quality but of what you are willing to own. OpenRouter-style services expose many models behind one HTTP endpoint and one key. You send a request, you get structured responses back, and nothing depends on a browser rendering correctly.

Aila takes the opposite approach. It uses the web interfaces you already have accounts for, which means no second billing relationship and no API keys to manage, and it reaches services that may not offer a public API on convenient terms. The price is that the integration surface is HTML rather than a schema. An aggregator's contract is versioned; a chat page's DOM is not.

There is a middle ground worth naming: a plain browser with several tabs, or a tab-group setup. That costs nothing and never breaks, but it also never sends the prompt for you, which is the entire point of Aila. If your comparison habit is occasional, tabs are fine. If it is constant, Aila's single-submit grid is the feature you are buying.

Licence and the cost of keeping Aila working

Aila is licensed under Apache-2.0, and the LICENSE file sits at the repository root. That is a permissive licence, and it matters here for a specific reason: because the app depends on user-editable configuration and per-site scripts, the ability to modify and redistribute your own version is part of the practical maintenance story. For the exact terms, including the patent grant and notice requirements, read the LICENSE file rather than a summary; this is a description of what is in the repository, not legal advice.

Upgrade cost is the real ongoing expense. The README's own instructions assume you may need to rewrite a script when a site's input box changes, and it routes that work through a chat assistant rather than a documented contribution process. The version notes at the top level (v2.0.txt through v2.3.txt) suggest the project has continued past the published v1.1 release, but the README does not tell a user how to obtain or upgrade to those builds. Budget for periodic breakage and for reading the repository rather than only the release page.

Editorial conclusion

Adopt Aila if you want to compare answers from several AI chat sites without keeping a dozen browser tabs open, and you are comfortable editing config.json by hand when you want to add or reorder models. Do not adopt it if you need a scripted, headless or API-only pipeline: the app drives web views, and the README documents neither an API nor a CLI. Before installing, check the release page for the current build, confirm .NET 8 is present on Windows, and read the certificate step in the README, because the Windows instructions require installing a provided certificate before the app itself.

Frequently asked questions

Official sources

1. License: Apache-2.0
2. Project website
3. README
4. Releases
5. win4r/AISuperDomain on GitHub