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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.

How It All Fits Together

thig.ai has several interconnected systems. This page gives you the mental model; the deep-dive pages explain each relationship in detail.

The Big Picture

Three Things to Understand

Organizing Work

Projects are individual PRDs. Workspaces group projects by team. Portfolio shows product hierarchies. None of these affect permissions.

How AI Gets Smart

Every chat message is enriched with 4 layers of context: your profile, AI memories, knowledge base files, and conversation history. AI learns from every conversation.

Templates → Projects

Templates define PRD structure and AI behavior. When you start a project from a template, the structure is copied. The AI follows the template’s guidance during chat.

Quick Reference: What Goes Where

I want to…Use thisWhere
Create a PRD for a featureProject (Standard)/admin/projects → New Project
Group features under one initiativeProduct Project + linked sub-features/admin/projects → Portfolio tab
Organize projects by squadTeam Workspace/admin/teams
Store reference docs for AIShared Knowledge Base/admin/shared-kb
Let AI learn my preferencesAI Memory (automatic)Happens during chat; manage at /admin/settings/memories
Define a reusable PRD structureTemplate/admin/templates
Get external sign-off on a PRDStakeholder Review via share linkShare button on any project

Quick Reference: KB vs. AI Memory

This is the most common point of confusion. They’re two separate systems:
Knowledge BaseAI Memory
StoresDocuments, facts, specsPreferences, decisions, style
ScopeOrganization-widePer-user
Created byManual upload + auto-saveAI extracts from conversations
Used forFactual context (“our API uses REST”)Personalization (“user prefers bullet points”)
Manage at/admin/shared-kb/admin/settings/memories
Rule of thumb: If it’s a fact about your company → Knowledge Base. If it’s a preference about how you work → AI Memory.
Read How AI Gets Smart for the full picture of how both systems feed into every AI conversation.

Common Workflows

Starting a new PRD

1

Pick a template

Browse marketplace or org templates. The template defines PRD structure and AI behavior.
2

Chat with AI

AI asks questions guided by the template. Your profile, memories, and KB context are automatically applied behind the scenes.
3

Upload context (optional)

Drop in competitor analysis, user research, or specs. They become part of the project’s KB.
4

Generate PRD

AI uses conversation + all context layers to generate a structured document.
5

Review, share, export

Edit in the rich editor, get AI coaching, share with stakeholders, export to PDF/DOCX/Notion.

Organizing work across teams

1

Create workspaces

One per squad or department (e.g., “Mobile”, “Platform”, “Growth”).
2

Assign projects

Link existing projects to the relevant workspace.
3

Create product hierarchy

Make parent “Product” projects, then link feature projects as sub-features.
4

Use Portfolio view

Switch to Portfolio tab on Projects page. Filter by workspace to see each team’s products and progress.

Teaching the AI about your company

ApproachBest forHow
Add to Shared KBFacts (tech stack, processes, guidelines)/admin/shared-kb → create folder → add files
Let AI Memory learnPreferences (style, detail level, tone)Just mention it during conversations — AI extracts automatically
BothMost teams use bothKB for reference docs, Memory for personal style