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Documentation Index

Fetch the complete documentation index at: https://docs.thig.ai/llms.txt

Use this file to discover all available pages before exploring further.

AI Model Configuration

thig.ai uses a tiered AI model system that automatically selects the right model based on the task being performed.

Model Tiers

TierUse CasesSpeedQuality
FastSuggestions, coaching, template enhancementFastestGood
BalancedChat conversations, improvements, roadmapsMediumGreat
PowerfulPRD generation, technical specsSlowerBest
Each tier maps to a specific model per provider. For example:
  • Fast: GPT-4o-mini, Claude 3.5 Haiku, Gemini Flash
  • Balanced: GPT-4o, Claude 3.5 Sonnet, Gemini Pro
  • Powerful: GPT-4, Claude 3 Opus, Gemini Ultra

Organization AI Settings

Admin/Owner only Go to Settings > AI Configuration (/admin/settings/ai-config) to configure:

Default Provider and Tier

Choose which AI provider and tier your organization uses by default:
  • Default Provider — OpenAI, Anthropic, or Gemini
  • Default Tier — Fast, Balanced, or Powerful

Task-Level Overrides

Override the model tier for specific tasks:
TaskDefault TierCan Override To
Chat conversationBalancedAny tier
PRD generationPowerfulAny tier
AI suggestionsFastAny tier
AI coachingFastAny tier
Technical specsPowerfulAny tier
User storiesBalancedAny tier
RoadmapBalancedAny tier

Allowed Models

Restrict which models your organization can use. When configured, members can only select from the approved model list.

Personal Model Selection

Individual users can select their preferred model in Settings > AI Keys (BYOK page):
  • Choose a preferred model per provider
  • Personal preference takes priority over org defaults when using BYOK
  • Model selection respects the organization’s allowed models list

Resolution Order

When an AI request is made, the model is resolved through this cascade:
  1. User’s personal preference (if using BYOK)
  2. Organization’s task-level override (if configured)
  3. Organization’s allowed models (tier-appropriate model)
  4. Global model registry (platform defaults)
  5. Hardcoded fallbacks (last resort)

SuperAdmin: Model Registry

SuperAdmin only The platform-wide model registry at /superadmin/ai-models allows SuperAdmins to:
  • Add new AI models with pricing, context window, and tier classification
  • Update existing model configurations
  • Set recommendations for each tier/provider combination
  • View cost-per-token pricing for budgeting