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Challenge

Build an Account Research Briefing Agent

Build an agent that turns company documents and dated announcements into a cited account brief. Separate verified facts from sales hypotheses and let the user inspect evidence before exporting the briefing.

Business OperationsHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

An account executive preparing for a first customer meeting.

Build an agent that turns company documents and dated announcements into a cited account brief. Separate verified facts from sales hypotheses and let the user inspect evidence before exporting the briefing.

Company profile

Dated company documents

User research questions

Retrieve relevant document sections.

Resolve dates and conflicting facts.

Draft the company summary and evidence-backed meeting questions.

Export a briefing with citations and explicitly labeled hypotheses.

A research workspace with a source viewer, editable briefing, citations, and document export.

Create a cited briefing about the planned expansion, identify Person A as current director, and label the automation opportunity as a hypothesis.

A working local application with the specified review interface.

Source code, dependency lockfile, and setup commands.

A recorded end-to-end demo using the supplied starter data.

Example outputs, action logs, and automated tests.

These fictional records are a small development fixture, not a production dataset. Implement the mock services described in the brief.

```json { "company": "Example Support Ltd", "as_of": "2026-09-19", "documents": [ { "id": "D1", "date": "2026-08-01", "text": "The company operates two support centers and plans a third." }, { "id": "D2", "date": "2026-09-01", "text": "Person B becomes operations director on October 1. Person A remains director until then." } ], "questions": [ "What is changing in operations?", "Who currently leads operations?" ] } ```

Use the fictional company bundle. Do not send outreach or infer personal characteristics. Choose an available model that supports your implementation. Record its identifier and version.

Review the complete application, not only the starter-case answers.

The expansion claim cites D1.

The director claim respects the effective date in D2.

The proposed sales opportunity is not stated as a customer commitment. Add one normal case, one incomplete-input case, and one failure-recovery case.

Rules

Participation guide

Use the fictional company bundle. Do not send outreach or infer personal characteristics.

Delivery guide

How work is evaluated

Evaluation

Review workflow completion, interface usability, evidence quality, and safe failure handling. No agent execution has been verified.

Submission format

A working local application with the specified review interface. Source code, dependency lockfile, and setup commands. A recorded end-to-end demo using the supplied starter data. Example outputs, action logs, and automated tests.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Learning goals

What you should walk away with

  • Retrieve relevant document sections.

  • Resolve dates and conflicting facts.

  • Draft the company summary and evidence-backed meeting questions.

  • Export a briefing with citations and explicitly labeled hypotheses.

Resources and assets

Reference links and supporting material

Dataset notes

Supplied fictional starter records: Company profile, Dated company documents, User research questions. The overview includes the complete JSON bundle. Implement local mock services and extend the sample coverage.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

LlamaIndex

Data framework for LLM applications

Evaluated output

No output checks are configured.

Evaluation checks
  • No evaluation checks are configured.
Configured evaluation evidence
  • 1 public reference case
Configured runtime
  • 1 configured tool

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Orchestration
  • LlamaIndex ยท Optional

Evaluation contract

  • No evaluation checks are configured.

Reference cases

  • 1 public reference case

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build an Account Research Briefing Agent