Document context
Identify the supplied document and the text available to the model.
TRIGCODE AI · AI AGENT BUILDER
Help users explore a document they provide with grounded answers. Start with a focused blueprint, then shape the details around the people who will use it.
Made for teams exploring supplied documents.
THREE SCREENS TO START WITH
Identify the supplied document and the text available to the model.
START WITH THE USEFUL PART
Designed for teams exploring supplied documents. Choose the smallest complete experience you can review with them.
A document explainer should make its evidence inspectable. Start with one supplied document and answers tied to identifiable passages, with an explicit response when the requested information is absent.
Identify the supplied document and the text available to the model.
Accept a question and show the answer with passage references.
Let the reader compare each cited passage with the proposed explanation.
FROM EXAMPLE TO YOUR OWN IDEA
This starter brief brings the audience, screens and first checks together. Edit it to reflect your own workflow before asking TrigCode to build.
Copy the brief, sign in, then paste it into the app composer.
Build an AI assistant app for document explainer. Audience: Teams exploring supplied documents. Goal: Help users explore a document they provide with grounded answers. A document explainer should make its evidence inspectable. Start with one supplied document and answers tied to identifiable passages, with an explicit response when the requested information is absent. Records and content: Documents, questions, citations, answers. Screens: - Document context: Identify the supplied document and the text available to the model. - Question workspace: Accept a question and show the answer with passage references. - Evidence review: Let the reader compare each cited passage with the proposed explanation. Use fictional sample data first. Include readable mobile layouts and clear empty, loading and error states. Acceptance checks: - Unsupported questions produce an explicit uncertainty response. - A citation that cannot be located in the supplied document is rejected or clearly marked as unverified. Implementation requirements: TrigCode builds the app around your assistant; it is not a dedicated visual agent orchestration service. Model credentials, retrieval, connected tools and background execution require implementation and hosting. Your app’s model usage is separate from TrigCode build credits.
TRY MORE THAN THE HAPPY PATH
Use fictional records first. Check the saved result and the visible interface before connecting real accounts or publishing.
TrigCode builds the app around your assistant; it is not a dedicated visual agent orchestration service. Model credentials, retrieval, connected tools and background execution require implementation and hosting. Your app’s model usage is separate from TrigCode build credits.
Explore product documentationA VISUAL STARTING POINT
Use this document-intelligence concept for document context, questions and evidence review.
Document Intelligence template concept · adapt this reference to your brief.
Explore ai & automation templatesBEFORE YOU BEGIN
Start with document context, question workspace, evidence review. Organize it around documents, questions, citations, answers. Unsupported questions produce an explicit uncertainty response.
A citation that cannot be located in the supplied document is rejected or clearly marked as unverified. TrigCode builds the app around your assistant; it is not a dedicated visual agent orchestration service. Model credentials, retrieval, connected tools and background execution require implementation and hosting. Your app’s model usage is separate from TrigCode build credits.
This is an authored build blueprint with a suggested workflow. It is not a finished app or a verified generated result. Copy the brief, sign in to TrigCode, choose the appropriate build mode and review the plan. Building uses credits; features and exports depend on your plan.