Skip to content

🤖 AI Development Principles

📋 Overview

Focused AI development guidance for GetCimple's 3-person team, emphasizing practical decision-making, resource efficiency, and governance-first implementation.

Key Documents

🎯 Quick Decision Guide

One-page decision tree for when and how to implement AI features. Use this first when evaluating any AI opportunity.

Key question: Does this save users 15+ minutest per day and can we build it in <2 days?

🔧 Implementation Patterns

Reusable patterns and code snippets for common AI scenarios in compliance and governance.

Most common: WhatsApp AI assistant, automated report generation, smart task categorization.

📊 Resource Efficiency Checklist

Practical checklist to ensure smart resource allocation for AI features.

Red flags: >$100/month, >16 hours development, >4 hours monthly maintenance.

🎯 Core Philosophy

AI should make compliance simpler, not add complexity.

  • Augmentation over automation: Help humans make better decisions
  • Governance-first: Every AI feature should support director oversight or team implementation
  • WhatsApp-centric: Leverage our messaging-first approach
  • Resource-conscious: Favor hosted APIs and n8n workflows over custom development

🚀 Getting Started

  1. Start with Quick Decision Guide - Use the decision tree for any AI feature idea
  2. Check Implementation Patterns - Find similar patterns you can adap
  3. Apply Resource Checklist - Ensure efficient resource allocation
  4. Build incrementally - Ship MVP in <2 days, iterate based on user feedback

📈 Success Metrics

  • User time saved: Target 15+ minutest per user per week
  • Implementation speed: MVP in <2 days
  • Cost efficiency: <$25/month for initial features
  • Maintenance burden: <4 hours/month ongoing work