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Challenge 04

Agent
SharePoint

Build the infrastructure layer that makes AI agents discoverable, reusable, and trusted across an organization.

The problem

As AI agents become standard tools in enterprise and research workflows, every team keeps building the same things from scratch. Agents for HR screening, customer support triage, and document summarization get built, tested, and then siloed.

There is no shared format for describing what an agent does, what tools it uses, or when it should and should not be applied. Useful prompts, debugged pipelines, and proven workflows stay locked inside individual project repositories.

Agent SharePoint asks you to build the missing registry layer: a place where agents can be uploaded, searched, recommended, reused, and endorsed by teams that have actually used them.

Focus 01

Structured agent metadata

Define enough information for another team to understand what an agent does, what it needs, what tools it uses, and when it should not be applied.

Focus 02

Semantic discovery

Let users search by intent, task, domain, input type, output contract, or problem similarity instead of relying only on titles and tags.

Focus 03

Trust signals

Surface endorsements, usage history, evaluation notes, owners, and reliability cues from teams that have actually used the agent.

What agent means here

Anything reusable enough for another team to run independently.

For this challenge, an agent is any AI-powered workflow that can be described, configured, and reused by others. The key requirement is that another team can understand, evaluate, and run it without relying on private tribal knowledge.

System prompt with a defined purpose and tool set
Multi-step LLM pipeline with clear inputs and outputs
Configuration file for LangChain, CrewAI, AutoGen, or another agent framework

What you are building

A trusted internal marketplace for agent reuse.

Build a platform where agents can be uploaded with structured metadata, searched semantically, recommended intelligently, and endorsed by teams that have used them in real workflows.

The strongest solutions will make reuse feel safer and faster than rebuilding from scratch: clear descriptions, runnable configuration, evaluation context, ownership, versioning, and practical guidance on where the agent fits.

The goal is shared infrastructure, not just storage. A good registry should help teams find existing work at the moment they are about to duplicate it.