Ai Confabulation
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
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
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
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
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
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
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 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 Smart, full of good ideas, genuinely helpful — and completely outdated on specifics.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
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
Agents
The term "AI agent" appears in every pitch deck, product page, and launch tweet in 2026. It meant something specific in AI research for decades. Then the industry got hold of it, and now it means whatever the marketing team needs it to mean this quarter. An LLM
Agents
Every agent comparison post you've read online follows the same pattern: list the features, quote the benchmarks, declare a winner. This one doesn't. We ran the same five real-world tasks through Claude Code, Devin, and a custom agent built on OpenAI's Agents SDK, tracked
Agents
AutoGen is Microsoft's open-source multi-agent framework, and you can tell Microsoft built it within about thirty seconds of reading the documentation. That's not entirely a criticism. AutoGen's design choices — conversation-first agent interaction, structured dialogue patterns, human approval gates, audit trails — make more sense if