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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.

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

FormatExtensionTypical use case
Presentation.pptxStrategy decks, product reviews, executive briefings
Document.docxBriefs, proposals, reports, analysis write-ups
Spreadsheet.xlsxFinancial models, data analysis, dashboards
The deliverable type is set when creating an assessment and determines which editing tools are available to the candidate 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 Quality category (40 points in the default rubric) evaluates:
  • Content accuracy - Are claims supported by the data sources?
  • Analytical depth - Does the work go beyond surface-level summary?
  • Structure - Is it logically organized and easy to follow?
  • Visual quality - Are slides/documents well-formatted and professional?
The scoring engine examines both the final deliverable and the process of creating it (visible through session events).