LIVE ยท 1008 online ยท 16 new posts today ยท Free Friday soon

Good evening, builder ๐Ÿ‘‹

25,000 builders share prompts, tools & wins daily โ€” free forever.

🟢 1008 online now·25,510 members·25,247 posts·📱 22,003 app downloads·✨ newest: chiara_r🃏 Cards🎓 Academy🗃 Vault💰 Treasury🎬 Theater🎁 Freebies🩻 SEO X-Ray
Create an account

New here? Join Data-Forums — ask questions, share builds & trade smarter with us.Sign up freeLog in×

Thread

How to ask an LLM for structured output that is easier to validate

Thread Rating:
  • 0 Vote(s) - 0 Average
  • 1
  • 2
  • 3
  • 4
  • 5
61 total views  ·  57 guest views

#1
Free-form AI answers are hard to automate. Request a strict structure, then validate it in code.

Code:
Return valid JSON only with: summary, priority, risks, next_steps. Priority must be low, medium, or high. Use null for unknown values. Do not add prose or infer facts not present in the input.

Specify fields, allowed values, formats, and missing-data behaviour. Treat output as untrusted input: parse it, validate it, log failures, and provide a fallback path.

Which format is least painful in your workflowโ€”JSON, CSV, or Markdown tables?
๐Ÿ‘ Like0โค๏ธ Love0๐Ÿ˜‚ Haha0๐Ÿ”ฅ Fire0๐Ÿ‘ Clap0โšก 0
Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.
Reply

Users browsing this thread:
1 Guest(s)

Forum Jump:
Join AI builders shipping real tools. No hype, no guru courses — just post-mortems, prompts, and people who build.

The community for AI engineers, automation builders, prompt crafters, cybersecurity folks & data practitioners. Talk about what ships — not what trends.

26.1k+
Posts
25.5k
Threads
25510+
Members
936
Online
© 2026 Data-Forums · Built with by Sir-VIGU ·
⏱️ 1 min read
Share