Far Finer Candidate Evaluation System
A toolkit for evaluating candidates against job needs using multiple hiring strategies. This repository contains tools and rule sets that will allow everyone in the hiring process to:
- Evaluate candidate resumes
- Assess role fit
- Summarize resume and extract skill information.
Introduction: The Adaptive Rule Based Evaluation System (ARBES)
Far Finer AI Clients
Here’s a collection of classes to simplify working with the artificial intelligence APIs from providers like Anthropic, OpenAI, and Perplexity. As I have a need, I rework these classes to have them take advantage of new features; for example, Anthropic Max Models, Caching, the amazing Assistant API from OpenAI, etc.
Features include robust handling of configs, environment variables, and defaults. There’ll be significant differences in features and design as my focus and needs evolve.
https://github.com/antquinonez/Far-Finer-AI-Clients
Far Finer Airtable Firestore Sync
This project allows me to sync data from Airtable — a tool that I like to use for data entry, data management, and for creating Interfaces — to Firestore, a document database provided by Google Cloud. Google Cloud allows you to use actions like record creations and updates to trigger jobs (for example serverless functions), very handy for developing event-driven solutions.
https://github.com/antquinonez/Far-Finer-Airtable-Firestore-Sync
Supports multiple update strategies; for example: individual record upserts, full refreshes, as well as full table-level transformations into single JSON records. As I started using and developing this project, I was continuously surprised by the different update types that I needed (and I’m confident others can use).