hexiecs/talk-normal resource
Make any LLM talk like a normal person. A system prompt that removes AI slop. observed · 2026-08-28
Health v2 · maintenance only
49/100
- Activity 78
- Release rhythm 35
- Longevity 10
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 147
- days_rel: n/a
- days_push: 133
- n_releases_24m: 0
Adoption not part of the score
1836 stars · 59 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated system prompt that makes any LLM respond concisely and naturally, removing verbose corporate filler. Distributed as a shell-installable prompt resource with benchmarked results across multiple models.
Use cases
- make chatgpt stop being verbose
- remove ai slop from llm responses
- get direct answers from claude or gemini
- reduce token usage in llm outputs
- find a good anti-fluff system prompt
- make llm output sound human
When to choose
- you want a ready-made, tested system prompt to cut LLM verbosity
- you use multiple LLM providers and want model-agnostic conciseness
- you want to reduce response length without losing information
When to avoid
- you need fine-grained programmatic control over output style
- your application requires verbose or formal LLM output
- you need a library or API rather than a prompt
Facets
learning-resource · maturity active
prompt-engineering llm-inference chatbot large-language-models artificial-intelligence chatbots cross-platform cli system-prompt ai-slop prompt-collection shell-script
1 source
- readme: https://github.com/hexiecs/talk-normal · fetched 2026-08-28 · 83b22f7b6a87
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| hexiecs/talk-normal | main | 49 |
For agents
markdown · JSON · MCP: product_card(name="hexiecs/talk-normal")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem