What if a tool returns weird output?
Re-run, refine inputs, or switch model. Most weirdness comes from vague inputs, not the AI itself.
Last updated: 2026-05-04
Quick fixes (in order)
- Re-run. AI output is non-deterministic. The next run is often better.
- Refine your inputs. Vague topic? Add 1-2 sentences of context. Wrong tone? Pick a different one. The single biggest lever on quality is input specificity.
- Switch the model (Pro). Most tools have a Model dropdown. If qwen2.5-32b returns flat output, try Claude Sonnet. If GPT-4o is too verbose, try Llama 70b.
- Check the additional-context field. Many tools have an optional "Additional context" textarea. Drop in your audience description, an example of what "good" looks like, or constraints ("never use emojis", "always cite sources").
- Use a brand voice profile (Pro). Generic output is often a brand voice mismatch.
Common weirdness patterns + fixes
| Symptom | Likely cause | Fix |
|---|---|---|
| Output stops mid-sentence | Token limit reached | Reduce word count target by 30%, or split into 2 runs |
| Repeats the same phrase | Model temperature too low | Pro: bump temperature to 0.8 in advanced settings |
| Sounds like a marketing brochure | No tone specified | Pick "Casual" or "Conversational" |
| Wrong language | Browser language detected wrong | Set output language explicitly in the dropdown |
| Hallucinated facts | Asked for specific data | This is the AI guessing — never trust factual claims without verification |
Reporting consistently bad output
If a specific tool gives bad output >50% of the time, contact support. Include the inputs you used and a screenshot. We track per-tool quality scores and fix prompts that fall below threshold.
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