Ai Confabulation

What The AI Is Lying About

What The AI Is Lying About brings this topic into one place so the full arc is easy to follow. Start anywhere, or move through the pieces in order to build a cleaner read on ai confabulation. The Series The AI Said It Could Do That. The AI Was Wrong.

Ai Confabulation

The Confabulation Audit: How To Verify Before You Build

You asked Claude how to integrate with a tool's API. It gave you clean code, plausible endpoints, and a confident walkthrough. You spent four hours debugging before discovering the endpoint doesn't exist. The code was fiction. The fix isn't to stop using AI — it&

Ai Confabulation

When The AI Confabulates About Other AIs — Models Lying About Models

You asked Claude about GPT-4o's capabilities. You got a detailed answer — context window, supported modalities, pricing per million tokens, benchmark scores, supported features. It sounded precise. Half of it was wrong. The pricing was from three months ago. The context window number was from a different tier. One

Ai Confabulation

The Tutorial The AI Wrote For A Tool That Updated Yesterday

You asked the AI to walk you through setting up a workflow in n8n. It gave you a step-by-step tutorial — clear, structured, with screenshots described in enough detail that you could picture them. "Click the plus icon in the top right to add a new node." You open

Ai Confabulation

"Just Use [Tool] For That" — When The AI Recommends Tools For Jobs They Can't Do

You described your workflow to the AI. You needed to pull data from a CRM, transform it, and push it into a reporting dashboard on a schedule. The AI said: "Just use Zapier for that." It described the Zaps you'd need, the trigger conditions, the data

Ai Confabulation

The Confident Wrong Answer — Why AI Hallucinations Sound Like Expertise

You asked Claude how to set up batch processing in an API. You got a structured, detailed response — endpoint URL, authentication headers, a Python code snippet with error handling, even a note about rate limits. It read like documentation. It sounded like someone who'd done it before. You

Ai Confabulation

Deprecated Everything — When The AI Describes Tools As They Were Six Months Ago

You asked Claude about Sora's API pricing. It gave you a detailed breakdown — per-second generation costs, resolution tiers, a free trial allocation of 50 generations per month. You budgeted your project around those numbers. When you went to sign up, the pricing page looked nothing like what the

Ai Confabulation

Phantom APIs — When The AI Writes Code For Endpoints That Don't Exist

You asked Claude to help you integrate with ElevenLabs' API to batch-convert a folder of text files into speech. It gave you a Python script — clean, well-commented, with proper error handling and a progress bar. The script called POST /v1/text-to-speech/batch with a JSON payload containing a list

Ai Confabulation

Hallucinated Features — When The AI Invents Capabilities That Don't Exist

You asked GPT-4 whether Midjourney supports inpainting with a --mask parameter. It said yes — explained the syntax, described the expected behavior, even walked you through the workflow of uploading a mask image and referencing it in your prompt. You spent twenty minutes trying to make it work before checking the

Ai Confabulation

The Honest AI Workflow: What You Can Trust And What You Can't

The AI is a brilliant colleague who hasn't checked their email in six months. Smart, full of good ideas, genuinely helpful — and completely outdated on specifics. You'd use their advice and verify the details. The question isn't "should I use AI assistance"

Ai Confabulation

The AI Said It Could Do That. The AI Was Wrong.

You asked Claude how to batch-process images through Runway's API using a specific endpoint. It gave you the endpoint URL, the authentication header format, the JSON payload structure, and a Python script that tied it all together. The code was clean. The variable names were sensible. The error