> ## Documentation Index
> Fetch the complete documentation index at: https://trygradient.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Assessment deliverables: decks, docs, email

> Candidates produce a deck, document, email, or AI workflow with AI help. See the formats, how they're built, and how each one is scored.

# Deliverables

A **deliverable** is the artifact a candidate produces during an assessment. It's the primary output that gets scored for quality, structure, and content accuracy.

## Supported formats

| Format | Extension | Typical use case |
| - | - | - |
| **Presentation** | `.pptx` | Strategy decks, product reviews, executive briefings |
| **Document** | `.docx` | Briefs, proposals, reports, analysis write-ups |
| **Email** | n/a | Inbox triage, stakeholder communication, prioritization |
| **AI Workflow** | n/a | A reusable prompt or skill the candidate inherits and improves |

Gradient sets the deliverable type when it builds an assessment. The type decides which editing tools the candidate can use in the workspace.

## How candidates build deliverables

Candidates work with the AI assistant to create their deliverable. The AI can:

* **Create and edit slides/sections** - Add content, restructure, format
* **Apply templates and formatting** - Professional layouts and styling
* **Insert data from connected sources** - Pull in tables, charts, and quotes
* **Iterate based on feedback** - Refine content through conversation

The workspace shows the deliverable in real-time on the right side of the screen, while the AI chat panel occupies the left side. Candidates can also manually edit the deliverable directly.

## Scoring deliverables

The deliverable is scored by two categories in the [rubric](/docs/concepts/scoring):

* **Correctness** (deterministic): Are the required elements present, the facts right, and the judgment calls sound?
* **Deliverable Quality** (AI-judged): How good is the output (polish, clarity, insight), measured as how far it improves on a first-pass AI draft? A lightly reworded AI draft scores low; a meaningful, quality-raising departure scores high.

The scoring engine examines both the final deliverable and the process of creating it (visible through session events).


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.