AI systems2026

COMET.

Specialists, working together.

A multi-agent research and planning workspace coordinating specialist tasks, API integrations, evidence, and structured reports.

MY CONTRIBUTION
Agent orchestration & API workflows
CONTEXT
Collaborative project · Webcmd Hackathon
STATUS
Prototype
PythonFastAPIReactTypeScriptSQLiteOpenAI APIMulti-agent AI
WORKFLOW / COMET
  1. 01Task + evidence
  2. 02Orchestrator
  3. 03Specialist agents
  4. 04Structured report

Specialists, working together.

01THE PROBLEM

What needed solving?

Research and planning cross tools and specialisms. A useful agent system coordinates those handoffs while retaining context.

02MY CONTRIBUTION

Where I came in.

I worked on an orchestration layer, API adapters, retry logic, and monitoring hooks. The workspace brings together business and student workflows, uploaded sources, and specialist chat.

Team repository

03KEY DECISIONS

The thinking behind it.

01

Give each agent a responsibility

Specialist roles make intermediate outputs easier to inspect and connect.

02

Treat failure as part of the workflow

Retries and monitoring help identify where external calls or agent steps fail.

04OUTCOME & NEXT STEPS

Built. Learned.
Still improving.

An orchestration prototype demonstrated in a live pipeline, as documented in my résumé.

Where it stands today

A collaborative prototype. Agent workflows depend on configured model providers, supported tools, and source availability.

What comes next

Make recovery and the relationship between sources, agent outputs, and saved reports easier to follow.