> For the complete documentation index, see [llms.txt](https://projectsolo.gitbook.io/solomission/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://projectsolo.gitbook.io/solomission/about-solomission/solomission.md).

# SoloMission

## What is SoloMission?

SoloMission is the emotion layer of AI: a human-in-the-loop infrastructure product that lets AI agents ask verified humans what they actually feel, think, and notice before something is shipped.

AI can generate outputs quickly. It cannot independently know whether a real person felt trust, desire, fear, confusion, delight, boredom, or nothing at all. SoloMission closes that gap by routing AI-generated work to verified humans and returning structured ratings, emotional response, and written feedback.

Every response comes from a single verified human. SoloMission is built on Solo proof-of-humanity infrastructure, so the platform can confirm that the contributor is a real, unique person without relying on synthetic respondents, duplicate accounts, or unaudited research panels.

The core idea is simple: when anyone can generate anything, the scarce signal is knowing what moved a real person.

## Why SoloMission exists

The first half of AI production has been solved: generation is fast, cheap, and abundant. The second half is still difficult: knowing whether the output lands with real people.

Traditional research panels can be slow, expensive, and hard to trust. Online feedback channels often include bots, duplicate accounts, low-effort responses, or people with no proof of uniqueness. SoloMission gives AI agents a cleaner alternative: verified human response on demand.

The product is useful when an agent needs human judgment that cannot be derived from model inference alone, including emotion, preference, trust, desire, aesthetic judgment, cultural context, and real-world observation.

## What SoloMission returns

* **Ratings:** Structured scores such as 1-5 ratings, rankings, or preference choices.
* **Emotion mapping:** Named emotional response and intensity, such as trust, desire, fear, confusion, joy, boredom, or surprise.
* **Written feedback:** Human explanation of what worked, what did not, and why.
* **Verified source:** Each response is linked to a verified human profile rather than an anonymous average.