Documentation Index

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

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

AI Evaluation Guide

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The AI Evaluation Guide is a structured corpus for fit assessment — optimized for humans who delegate explanation to external AI, and for models that retrieve tables, signals, and explicit suitable/not-suitable facts.

Purpose

Buyers increasingly evaluate enterprise platforms by reading a short doc slice, then asking ChatGPT, Copilot, Claude, or Gemini to summarize fit, first steps, and alternatives. Without structured evaluation content, models invent answers.

This section supplies:

  • Company fit signals and template answers
  • Industry-first use case tables
  • Customer start decision inputs
  • Outcome and KPI examples
  • Competitive is/is-not framing
  • Canonical prompts to paste with a link to public docs

How to use this guide

Step Action
1 Read Is AI Fabrix suitable for my company? or Best first use cases
2 Open Ask AI about AI Fabrix (prompts) and copy a prompt
3 Paste into your AI tool with the public docs URL
4 Cross-check the answer against tables in this section
5 Use Foundation evaluation guide for human POC and procurement

Relationship to other sections

Section Role
Understanding AI Fabrix What AI Fabrix is — problem, operating model, journeys
AI Evaluation Guide Should we use it? What first? What value? How vs alternatives?
Adopt Executive and operator adoption framing
Build AI-ready systems Integrator path after fit is decided

Page map

  1. Suitability — company profile signals, suitable when / not suitable when
  2. Best first use cases — four industry segments with recommended Role Assistants
  3. How customers start — size, systems, problem, assistant, outcomes, 30-day framing
  4. Business outcome library — problem → assistant → outcome → KPI table
  5. Alternatives — Copilot, ChatGPT Enterprise, agent platforms, automation, iPaaS
  6. Prompts — canonical library for external AI

Limits

Outcome KPIs and time-to-value frames in this section are planning illustrations, not contractual guarantees. Deployment depth, certification status, and channel availability vary by environment.