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Challenge

Automating Executive Briefings with GPT-5.3-Codex and LangChain

Develop a multi-agent system designed to aggregate and summarize high-stakes regulatory and legal developments for corporate leadership. This system uses Mastra AI to manage agent state and Galileo to monitor agent output quality and performance metrics in real time. The orchestrator agent utilizes GPT-5.3-Codex for high-reasoning tasks, while specialized sub-agents interact with internal workflows via Fixie voice interfaces to provide rapid status updates. The deployment includes rigorous security guardrails managed by Protect AI to ensure that all data processing adheres to enterprise compliance standards.

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Challenge brief

What you are building

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

Build an intelligent monitoring agent workflow using LangChain, GPT-5.3-Codex, and Mastra AI to synthesize complex regulatory news feeds into actionable executive summaries.

Delivery guide

How work is evaluated

Evaluation

Evaluation of agent summary accuracy and guardrail adherence

Datasets

Challenge datasets

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

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

Compliance Check

Ensure no PII leaked in summary

Binary check

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

Dimension 2

Accuracy

Factual alignment • target: 0.95 • range: 0-1

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

  • Design hierarchical agent workflows in LangChain for multi-step regulatory analysis

  • Implement state management using Mastra AI to handle complex context between agent turns

  • Integrate Galileo evaluation harnesses to score model reasoning performance in production

  • Deploy Protect AI governance layers to monitor for prompt injection and model misuse

  • Build a voice-controlled agent assistant using Fixie that connects to real-time data APIs

  • Orchestrate GPT-5.3-Codex reasoning budgets to maximize accuracy for legal document processing

Resources and assets

Reference links and supporting material

Dataset notes

Sample data for 1 tasks

Challenge setup

Evaluation of agent summary accuracy and guardrail adherence

Challenge input

JSON news event

Langchain

Building applications with LLMs

Galileo

Generative AI eval and observability platform.

Evaluated output

Summary string

Evaluation checks
  • Ensure no PII leaked in summary
  • Factual alignment • target: 0.95 • range: 0-1
Configured evaluation evidence
  • Accuracy target: 0.95
  • 1 public reference case
Configured runtime
  • Python execution harness

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

Action Space
  • Langchain · Required
  • LangChain · Optional
Observation
  • Galileo · Optional
Reward / Eval
  • Galileo · Optional
Orchestration
  • Langchain · Required
  • LangChain · Optional

Evaluation contract

  • Compliance Check · Weight 1
  • Accuracy · Weight 1

Metrics

  • Accuracy · Target 0.95

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON news event

    Output: Summary string

    Execution harness: Python

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Automating Executive Briefings with GPT-5.3-Codex and LangChain