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Challenge

Hospitality Megaproject Construction Copilot with Vercel AI SDK & Aider

Real estate developers constructing multi-hotel portfolios require real-time project risk alerts and automated code generation for dashboard components. Build an intelligent web dashboard service with the Vercel AI SDK and refactor code via Aider to track room delivery schedules.

Business OperationsHosted by Vera
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Challenge brief

What you are building

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

Construct a full-stack Next.js and Vercel AI SDK service backed by Aider automated code refactoring.

Delivery guide

How work is evaluated

Evaluation

Evaluates streaming endpoint latency and structural schema accuracy for hotel completion telemetry.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

valid_zod_schema

Ensure delivered payload parses cleanly through required TypeScript interface.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

time_to_first_token

Latency in milliseconds before the first response chunk is streamed. • target: 350 • range: 0-2000

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Implement multi-provider AI routing using Vercel AI SDK in Next.js App Router

  • Stream UI components and room milestone updates live to the client

  • Integrate Aider CLI workflow for automated prompt-driven code changes

  • Build dynamic schema validation for construction delivery milestones

Resources and assets

Reference links and supporting material

Dataset notes

Data records detailing hotel development milestones, room counts, location breakdown, and target handover dates across Saudi cities.

How this agent runs

Evaluates streaming endpoint latency and structural schema accuracy for hotel completion telemetry.

Challenge input

JSON with portfolio_id and target_quarter

AI SDK

TypeScript framework for streaming object and text responses.

Aider

Automates code refactoring and maintenance.

Evaluated output

Stream of JSON objects containing total_rooms, delivered_rooms, and status

Checks for
  • Ensure delivered payload parses cleanly through required TypeScript interface.
  • Latency in milliseconds before the first response chunk is streamed. • target: 350 • range: 0-2000
Proof of success
  • Benchmark: FullStack-AI-Bench
  • Time To First Token target: 350
  • 1 public reference case
Runtime evidence
  • JavaScript execution harness
  • javascript sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Aider · Required
  • Vercel AI SDK · Optional
  • Synthflow · Optional
Observation
  • Aider · Required
Orchestration
  • Vercel AI SDK · Optional

Evaluation contract

  • valid_zod_schema · Weight 1
  • time_to_first_token · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Hospitality Megaproject Construction Copilot with Vercel AI SDK & Aider