Format LLM Responses for Slack

🧩 Problem

LLM replies arrive as markdown with headers, bold, and bullets that don't render cleanly in Slack messages. When malformed or unstructured data hits routers, filters, or API connectors, entire automations halt or silently drop records. Teams end up retrying runs, hand-editing payloads, and explaining delays to customers.

💡 Why This Happens

Slack uses a lighter markup than GitHub/Markdown, so headers, bullets, and bold text often look broken when pasted directly. Most automation platforms assume well-formed payloads and do minimal validation. AI models, third-party APIs, and changing vendor schemas drift over time, mixing encodings, formats, and unexpected fields that downstream steps cannot tolerate.

🚀 The Fix: Text to Slack (API Endpoint)

Use this endpoint to solve the problem reliably inside Slack, n8n, Zapier, Make.com.

Endpoint

POST https://api.postthatgetthis.com/text/to_slack

Example Input

## Direct Answer
**Yes**, it works!
- Bullet one
- Bullet two

Example Output

*📋 Direct Answer*

*Yes*, it works!
• Bullet one
• Bullet two

📦 What This Solves

• Slack-friendly headers and bold
• Normalized bullets from markdown
• Cleaner AI responses in chat

Not seeing your exact problem? Tell us what’s breaking in your workflow and we’ll help fix it: Submit A Problem.

🔗 Related Use Cases

• Text Pretty Print
• Text to JSON

👉 Try it now

Use this endpoint directly in your automation tool. POST → get cleaned, structured data. Every time.