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Target Audience: Students in the MS in Business Analytics (MSBA) program at Gies College of Business. Goal: Leverage prediction market data (Polymarket, Kalshi) to build standout portfolio projects that demonstrate skills in Big Data, Financial Analytics, and Storytelling.
| name | ai-agent-evaluations | ||||||
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| description | Framework for designing, implementing, and iterating on evaluations for AI agents. Use for automated testing of coding, conversational, research, and computer use agents with code-based, model-based, and human graders. | ||||||
| license | MIT | ||||||
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| compatibility | Framework-agnostic. Works with Harbor, Promptfoo, Braintrust, LangSmith, and Langfuse. Requires test framework and model access. |
| name | ralph-playbook | ||||||
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| description | Implements Ralph workflow - an iterative AI-driven development loop using Jobs-to-be-Done (JTBD) specification, gap analysis, and autonomous building with backpressure validation. Use when building software products with deterministic LLM-based planning and implementation loops. | ||||||
| license | Apache-2.0 | ||||||
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| compatibility | Requires bash, git, and Claude CLI. Best suited for projects with test suites and build validation. |
| # This code helps you get a CSV roster of student names( Lastname, first name) along with their group names | |
| # using the CANVAS api. Every user's API gives them access based on information they can see inside canvas | |
| # The code below assumes CANVAS at Illinois, and requires two inputs: The API and the course_id | |
| import requests | |
| import json | |
| import csv | |
| # get a Canvas access token - https://canvas.illinois.edu/profile/settings --> Approved Integrations --> New Access token | |
| # Enter with your access token from Canvas in the API-Key field below |
| You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. | |
| ## Core Principles | |
| 1. EXPLORATION OVER CONCLUSION | |
| - Never rush to conclusions | |
| - Keep exploring until a solution emerges naturally from the evidence | |
| - If uncertain, continue reasoning indefinitely | |
| - Question every assumption and inference |