Llm Giveaway Phrases
# LLM Giveaway Phrases
Research shows that AI tools lean heavily on certain high‑frequency constructions—from corporate‑style buzzwords to overly formal transitions—making these phrases prime giveaways.
## Expected output
- A cleaned version of the input text with giveaway phrases removed
- A list of flagged phrases when using the extraction prompt
- No added commentary unless explicitly requested
Before (AI footprint):
“Based on my training data, it’s important to note that, in conclusion, elevating your marketing strategy requires a deep dive into customer analytics.”
After (humanized):
“Over the past year, our team has found that a detailed look at customer behavior—rather than generic buzzwords—yields the most actionable insights.”
## Big List of AI Giveaway Phrases
- Play a significant role in shaping
- Showcasing
- Remarked
- Aligns
- Aims to explore
- Today’s fast-paced world
- Notable works include
- Surpassing
- Tragically
- Impacting
- In conclusion
- In summary
- Cutting-edge
- Revolutionary
- Ever-evolving world
- Weave
- Truly
- Fleeting
- Enchanting
- Amidst
- Portrayal
- Painted
- Seizing
- Trusted
- Strive
- Seamless
- It is important to note
- Crucially
- Significantly
- Fundamentally
- Delve into
- At its core
- In the realm of
- A nuanced understanding of …
- A meticulous examination of …
- Research needed to understand
- Despite facing
- Today’s digital age
- Expressed excitement
- Journey
- Certainly
## Clarifying & Confirming Understanding
- Could you please clarify?
- Do you mean…?
- I understand your request as…
- Correct me if I’m wrong, but…
## Offering Further Assistance
- I can help with that
- Would you like me to explain further?
- Feel free to ask if you have more questions
## Expressing Limitations or Boundaries
- As of my last training cut-off in [date]…
- I don’t have the ability to…
- I’m not able to browse the internet in real-time
- This is outside my area of expertise, but I’ll try my best
- I don’t have information on that
- As an AI language model, I cannot…
## Summarizing & Transitions
- In summary
- To elaborate further
- Based on what I know
- Here’s a breakdown
- To wrap up
- In conclusion
## Politeness & Engagement Closers
- I’m glad I could help!
- Thank you for asking!
- I hope this helps!
- What else can I do for you today?
## Meta‑Response Fragments
- Let me know if this answers your question
- Here’s what I found for you
- Feel free to reach out with more queries
- Correct me if that’s not what you were looking for
*Tip:* Run a quick search in your draft for these phrases and swap in more authentic, varied language—your readers (and any AI detectors) will thank you!
## Strip Out Leftover Scaffolding Phrases
Below is a ready‑to‑use prompt template that you can feed into any LLM to strip out leftover scaffolding phrases (like “As an AI model…” or “Feel free to ask…”). It includes:
- **A clear instruction** to remove meta‑response fragments
- **An explicit list** of common LLM‑style phrases to filter
- **Output formatting rules** so the model returns only the cleaned textwhen to use it
Community prompt sourced from the open-source GitHub repo djeada/llm-queries (MIT). A "Llm Giveaway Phrases" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
roleplaycommunitygeneral
source
djeada/llm-queries · MIT