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If your AI agent won't admit it's AI, this prompt will catch it.
Audits a customer-facing AI conversation, and optionally the agent's system prompt, for honest AI disclosure. Free prompt, written to match my packs (not from any pack).
#aiagents #aisafety #promptengineering #chatgptprompts
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I built an open-source skill that stops AI from making every design look the same
Every AI-generated website looks the same. Centered hero. Purple gradient. Three feature cards.
The reason isn't bad taste. AI agents fill gaps in a brief with the average of their training data. If you don't define what "not average" means for your project, you get the mean.
So I built Intent Interrogator, a free skill that works across Claude Code, Codex, Cursor, Copilot, and any agent that reads the Agent Skills standard.
It does three things:
Interrogates - asks 4 questions before writing any code:
→ What should someone feel in the first 3 seconds?
→ Who specifically is this for?
→ What's the one constraint I must respect?
→ What should this definitely not look like?
Persists - saves the brief to a .intent/ file inside your project. New chat, new week, new agent, the intent is still there.
Verifies - before declaring the work done, it compares what it built against what you asked for, and produces an Intent Receipt showing where it matched and where it drifted.
That last part is the piece I haven't seen anywhere else.
You don't need to code to use it. You just answer four questions.
Free forever. Feedback welcome.
#design #ai #opensource #productdesign
github.com
GitHub - yutivora/intent-interrogator
Contribute to yutivora/intent-interrogator development by creating an account on GitHub.
ChatGPT Pro: 0% left. Claude Max: 100% used.
Two $200 plans, and somehow I still need more AI. 😅
At this point, am I a developer or just an AI subscription collector? 💀
AI Agent vs Body
One AI agent is single-player.
Work is multiplayer.
Start with one agent. I explain it as a body.
The LLM is the brain.
It reads, writes, and reasons. It knows nothing about your business.
RAG is the brain with a library.
It looks things up in your documents before it answers.
MCP is the nervous system.
Model Context Protocol. One standard way to wire the brain to tools and data. Build the connection once, and any agent that speaks MCP can use it.
Skills are muscle memory.
Know-how saved once and loaded when a task calls for it.
The agent is the brain with hands.
It plans the steps, then carries them out in your tools.
