SIMPLE AI IMPLEMENTATION ASSETS BY PHASE - larralapid/finds GitHub Wiki

SIMPLE AI IMPLEMENTATION ASSETS BY PHASE

Phase 1: Assessment & Readiness

1. Quick Assessment Form Generator

Implementation:

  • Uses GPT API to generate customized assessment questionnaires
  • Simple form interface with predefined templates
  • Automated scoring system using basic rules

Technical Requirements:

  • Form creation tool (e.g., Microsoft Forms)
  • Basic API integration
  • Simple scoring logic

Value: Reduces assessment creation time by 70%

2. Implementation Checklist Generator

Implementation:

  • AI generates contextualized checklists from standard templates
  • Simple input interface for context parameters
  • Exports to common formats (PDF, Excel)

Technical Requirements:

  • GPT API integration
  • Basic document template system
  • Simple export functionality

Value: Creates customized checklists in minutes vs hours

Phase 2: Foundation Setup

1. Meeting Schedule Optimizer

Implementation:

  • AI analyzes time zones and team availability
  • Suggests optimal meeting slots
  • Generates calendar invites

Technical Requirements:

  • Calendar API integration
  • Simple time zone calculation logic
  • Basic scheduling interface

Value: Reduces scheduling conflicts by 60%

2. Process Template Generator

Implementation:

  • AI customizes standard process templates based on team inputs
  • Simple template library
  • Basic document generation

Technical Requirements:

  • Document template system
  • GPT API for customization
  • Basic file handling

Value: Reduces template creation time by 75%

Phase 3: Implementation

1. Daily Update Summarizer

Implementation:

  • AI summarizes daily standup notes and updates
  • Simple input form for updates
  • Automated summary distribution

Technical Requirements:

  • Basic text processing
  • Email integration
  • Simple web form

Value: Saves 30 minutes per day in update compilation

2. Documentation Generator

Implementation:

  • AI creates basic documentation from templates
  • Simple input forms for context
  • Standard format outputs

Technical Requirements:

  • Document template engine
  • GPT API integration
  • Basic file handling

Value: Reduces documentation time by 65%

Phase 4: Optimization & Scale

1. Performance Report Generator

Implementation:

  • AI creates performance reports from simple metrics
  • Basic data input forms
  • Standard report templates

Technical Requirements:

  • Simple analytics logic
  • Report template system
  • Basic visualization tools

Value: Reduces reporting time by 70%

2. Feedback Analysis Tool

Implementation:

  • AI analyzes text feedback for key themes
  • Simple feedback collection form
  • Basic theme visualization

Technical Requirements:

  • Text analysis API
  • Simple form interface
  • Basic charting

Value: Reduces feedback analysis time by 80%

Common Characteristics:

  • Uses existing AI APIs
  • Minimal custom coding
  • Simple user interfaces
  • Standard templates
  • Basic integration requirements
  • Clear, immediate value delivery