Real AI agent use cases, with sources and setup prompts
One prompt, several models: what people learned about quality, speed and cost when they ran the same job across frontier models. 19 matching use cases below, each with a public source.
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With the same prompt and reference images, Opus 5.5 built an interactive creek scene with depth of field and four lighting presets on the first attempt in 76 minutes, while Gemini 4 Argon needed three rounds of feedback.
One prompt, build a radial engine, went to Claude Opus 5.5, GPT-6 Astra, Gemini 4 Argon and Grok 4.7. Each built a different machine, which shows how differently the models interpret the same words.
A builder made a tracker that puts 18 coding tools (Cursor, Claude Code, Copilot, Codex and more) side by side and logs every pricing change with sources.
Four AI agents got one prompt to build a complete game with no help. GPT-6 Astra said done after 32 minutes; Opus 5.5 was still adding things at 5 hours 38 minutes ($154). Blind AI judges scored Opus 9.0, Astra 7.5, Argon 6.7, Kimi K3 5.3.
Pando runs Claude Code, Codex, Grok and Cursor side by side with one shared memory, undo for any task, tests after every change and vibe coding from your phone.
Built Parsimony, an open benchmark that scores how much unnecessary code models insert beyond solving the task.
Built Tack, a free Mac app that combines talk + screenshots into one prompt and pastes it into Claude Code, Codex, Cursor or any app with screenshots at the right spots.
Built SwarmPane to run Claude Code, Codex, Gemini, Grok and Cursor in parallel panes with attention cues.
Built Offrun to run Claude Code, Codex, AGY and Grok Build side by side and see who needs attention and what usage remains.
Built JevBench, a reproducible benchmark for typed decision models used around agent memory and tooling.
StarSkirmish Bench has LLMs play StarCraft: Brood War by writing code, now refreshed with results from the flagship OpenAI, Anthropic, Google and Muse models including Gemini 4 Argon.
The author asked Claude to clone Calendly in a single prompt.
A builder used their AI agents with the ToolJet MCP to build a back office for jobs, bookings, invoices and parts from one prompt in under 40 minutes.
Built a ranked guide that matches local LLMs to your hardware using benchmarks.
Llmspeed simulates tokens per second and time to first token for models like Qwen, Gemma and GPT-OSS on GPUs and Macs, based on verified benchmarks, so you can feel the speed before you buy.
Linus Torvalds used a large language model on a ten-patch series that lets hot folios be read under RCU without taking refcounts. The result is an order-of-magnitude speedup on a read-heavy benchmark, though review already found a race to fix.
Built Jevman so decision-model APIs compete at Pac-Man as a fast, simple decision benchmark.
Built a LangGraph workflow plus C++ harness so agents can run, benchmark and Nsight-profile CUDA kernels.
Indexed 1,124 AI Engineer conference talks so you can search them and jump to the timestamp.
How to make faceless YouTube videos with AI · How to automate work with n8n and AI · How to vibe code an app with Claude Code · How to build AI agents for SEO and ads · How to run multiple coding agents together · How to build an MCP server for AI agents · How to add memory to coding agents · How to secure vibe-coded apps and agents · How to observe and debug AI agents · How to build agent memory and context layers · How to control coding agents from your phone · How to add payments to vibe-coded apps · How to run local LLMs with AI agents · How to set up Grok Bot agents for real work · How to build with Gemini 4 Argon and Gemini agents · How to use AI agents for taxes, bills and budgets · How to make AI video ads and Reels with agents · How to set up Hermes Agent workflows · How to vibe code a game with AI · How to replace SaaS subscriptions with vibe-coded tools · How to use AI agents for errands, calls and shopping · How to use Cursor agents and automations · How to make 3D scenes and models with AI and Blender · How to use Claude Code skills and plugins · How to cut AI coding agent costs and token use · How to automate a small business with AI agents · How to build hardware projects with AI agents
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