ChatNGO Labs Onboarding

Ready to supercharge your nonprofit impact with AI? You have just gained access to one of the most powerful AI platforms available - Simtheory through ChatNGO Labs.

This is not just another chatbot; it is your gateway to multiple AI models, intelligent assistants, and powerful automation tools (MCPs) that can transform how you research, create content, analyze data, and connect with your community.

Watch our onboarding walkthrough below to unlock the full potential of your new AI toolkit.

SimTheory Platform Guide

 

1. Platform Basics

SimTheory provides access to multiple AI models with enhanced functionality beyond standard chat interfaces.

Model Selection

  • Frontier models: GPT-4, Claude Sonnet, Gemini 2.5 Pro (count towards usage)
  • Efficient alternatives: Kimi K2, DeepSeek, Claude 3.5 Haiku (no usage cost)
  • Switch models based on task complexity

Usage Management

  • Monitor tokens via Profile → Settings → Usage
  • Three types: Input tokens, Output tokens, Premium tokens
  • Monthly caps apply per user

2. AI Assistants

Create specialized AI agents for different organizational tasks and workflows.

Assistant Types

  • SimTheory: Default assistant with memory enabled
  • Blank: Memory disabled for temporary conversations
  • Custom: Task-specific assistants with specialized instructions

Configuration Options

  • Upload context files (strategic plans, style guides)
  • Set custom instructions and default models
  • Enable specific MCP tools per assistant
  • Use pre-built templates for quick setup

3. MCP Integration

MCPs are universal connectors that link your AI to external tools and services.

Key MCP Categories

  • Research: Academic databases, Google Search, Perplexity, web crawling
  • Productivity: Google Workspace, code interpretation, data analysis
  • Creative: Podcast generation, image creation and editing
  • Data: Government datasets, mapping, geographic analysis

MCP Management

  • Install via “Add Connection”
  • Enable/disable per assistant
  • Custom naming for organization
  • Workspace sharing capabilities

4. Advanced Workflows

Leverage multiple AI agents and tools simultaneously for complex organizational tasks.

Multi-Tab Operations

  • Run different AI agents simultaneously
  • Switch between projects seamlessly
  • Organize conversations in folders
  • Pin important chats for quick access

Dynamic Switching

  • Change models mid-conversation
  • Switch assistants during workflow
  • Optimize for different task requirements

5. Best Practices

Maximize platform efficiency while managing costs and complexity.

Strategic Usage

  • Use frontier models for complex tool calling
  • Switch to efficient models for basic tasks
  • Monitor token consumption regularly
  • Restrict MCP access to relevant tools only

Workflow Optimization

  • Create specialized assistants for recurring tasks
  • Run research agents in background tabs
  • Chain different assistants for complex workflows
  • Balance memory-enabled and private sessions