Troubleshooting

If something doesn’t work as expected, here’s how to fix it quickly.

---

⚠️ Issue: “My prompt used the wrong model”

Possible Causes:

• Prompt classification detected a different intent

• Manual override wasn't recognized

Fixes:

• Specify clearly: “Use GPT-4o for this.”

• OR disable the override: “Use the default model for this.”

---

⚠️ Research output has no citations

Perplexity may ignore formatting and source citation instructions under model stress.

Fixes:

• Add: “Be sure to include sources.”

• OR use "research-only" tasks

• Check whether model override forced use of GPT instead of Perplexity

(Note: I am aware of issues / quirks with Perplexity's API that frequently prevent the output from clearly listing sources / URLs. I will continue to attempt workarounds and monitor for updates)

---

⚠️ Audio speaks the system prompt / unwanted text

This usually means the audio step used the full composed prompt.

Fix: Add quotes:

“Read aloud only: ‘This is the text to speak.’”

Or rely on dependent text_generation → audio steps.

---

⚠️ Image didn’t generate

Common causes:

• DALL·E content restriction

• Too abstract or unsafe

Fix: Rephrase with safe, allowed content.

---

⚠️ Slow output

Try shorter prompts or prompts involving fewer steps. Some types of tasks (i.e. audio generation) will naturally take longer than others. While most workflows (approx. >90%) are completed in mere seconds, a few more complicated requests could take up to 5 minutes.

---

⚠️ Errors in multi-step workflows

Dependencies may be misinterpreted.

Fix: Add explicit sequencing terms:

• “First… then…”

• “After generating the text…”

---

🛠 When to Contact Support

If something feels broken or you have suggestions / feedback, please email: 📩 [email protected]

---