Hey folks, I've been experimenting with Suno to generate short audio clips for client project mood boards. Normally, we'd spend hours digging through royalty-free libraries or composing something simple but time-consuming. The goal was to see if we could reduce that overhead to near-zero for quick internal reviews.
Our stack is mostly Linux-based, so I built a small wrapper script to batch-process prompts via the API. It's essentially a glorified `curl` call with some JSON parsing, but it saves a ton of context-switching. Here's the core of it:
```bash
#!/bin/bash
PROMPT="$1"
OUTPUT_FILE="$2"
curl -s -X POST "https://api.suno.ai/v1/generate"
-H "Authorization: Bearer $SUNO_API_KEY"
-H "Content-Type: application/json"
-d "{"prompt": "$PROMPT", "duration": 30}"
| jq -r '.audio_url'
| xargs -I {} wget -O "$OUTPUT_FILE" {}
```
We feed it very specific prompts, like "ambient synth pad, slow attack, no percussion, hopeful but neutral, 90bpm". The key is avoiding vague musical terms—Suno can get surprisingly cinematic or overly dramatic if you're not precise.
Some observations on the performance and workflow:
* **Latency:** The generation isn't instant; it's about 15-30 seconds per 30-second clip. We queue up a few in parallel.
* **Consistency:** You don't get deterministic output, but for a mood board, that's okay. We generate 2-3 variants per prompt and let the client pick.
* **Overhead:** Compared to the old way (search, license check, edit), this is far less mental load. It feels more like firing off a `perf record` and getting a flamegraph back—quick data to inform a decision.
Biggest pitfall so far? The audio can sometimes have a faint "AI texture"—a certain synthetic sheen on instruments. For final products, we'd still use a human composer, but for aligning client expectations early on, it's incredibly effective. Curious if anyone else is using it for similar rapid prototyping in their dev or creative pipelines.
System calls per second matter.