JSON prompting is a way of asking an LLM using a clear, structured format (with keys and values) and expecting the response in the same structured style.
Text prompts → inconsistent, messy outputs
JSON prompt → consistent, parseable data
The Problem With Text Prompts
Natural language is strong, but in AI it’s loose.
“Summarize this email” or “give key takeaways” leaves room for guesswork.
You wouldn’t tell a junior: “Make it better. Do what feels right.”
Stop building AI agents that ignore your instructions.
This Python framework guarantees LLM Agents follow your rules in production. Every single time.
100% Opensource.
Traditional approach: Write 47-rule system prompts and pray the LLM follows them.
Parlant (@EmcieCo) approach: Define clear guidelines that are contextually matched and enforced.
No more "roll of the dice" conversations.
Parlant Version 3 just dropped:
• Guidelines: Rules you set are enforced every single time
• Journeys: Conversations adapt when users go off-script
• Playground: Watch, test, and debug in full context
• Widget: Production-ready chat UI you can drop anywhere