Enter client details before the session begins. This populates every report and the AI scan context.
What AI Platform Is the Client Using?
Select all that apply. The tool will generate a custom data extraction prompt for each platform.
🤖
ChatGPT / OpenAI
🟠
Claude / Anthropic
🔵
Gemini / Google
⚙️
Make.com
🔁
n8n
⚡
Zapier
💻
Cursor / Copilot
🛠️
Custom / Other
Data Extraction Prompts
Have the client open each AI platform. Copy the prompt below, paste it into their system, run it, then copy the output into a markdown file (.md). Once you have the full data file, proceed to Step 3.
Collecting the Output
Ask the client to run each prompt above inside their AI platform. Have them copy all output into one text file and save it as client_ai_scan.md. You'll upload this file in Step 3. The file can include outputs from multiple platforms — paste them all together.
Upload Client Data File
Upload the markdown file the client generated, or paste the raw output directly. The AI will scan it against all six AIEI™ sub-indices and score each dimension.
📄
Drop the client data file here or click to browse · .md · .txt · .json · .csv
or paste directly
Additional Practitioner Context
Running AIEI™ Diagnostic
Analyzing client AI infrastructure...
"Feed your AI like you feed your body — quality in, quality out."
Sub-Index Diagnostic Results
Each of the six AIEI™ sub-indices scored 0–100. Scores are derived from the client's actual AI configuration data.
Solutions & Remediation Plan
Every finding below is specific to what was found in this client's system — not generic advice. Priority order: highest-impact fixes first.
Maintenance Protocol
Based on what was found in this system, here is the specific maintenance cadence to prevent regression.
Live Remediation
These are the actual fixes for this client's system — corrected system prompts, workflow restructures, and maintenance instructions. Implement these now or bill as a separate engagement.