The Next Input — Issue #094

Stop Your AI From Talking Like a Cornball

In partnership with

Artificial Intelligence Ai GIF by Abdi Slick

Spinny…

The Briefing — 60 sec

🛠️ The Playbook — The Tone Filter: Stop AI From Talking Like a Cornball

Mission Force AI outputs into a consistent brand voice—clean, human, direct, no cringe.
Difficulty Medium
Build time 1.5 hours
ROI Eliminates 90% of tone problems before they ever reach a client or audience.

0) Why This Matters

Models default to whatever tone they think is “safe,” which often lands somewhere between corporate oatmeal and weird internet baby-talk.
If your brand has an actual voice—straightforward, modern, human—you need a filter that catches cringe before it escapes into the wild.

1) Architecture

Component

Tool

Purpose

Input Surface

Cursor / Notion / Email

Where drafts appear

Tone Engine

Claude 4.5 Sonnet

Convert text → brand voice

Validator

GPT-5-mini

Flag residual cringe or off-brand language

Style Guide Store

Airtable

Holds voice rules + banned terms

Delivery

Make / Zapier

Send final polished text back to user

2) Workflow

  1. Create a “Tone Rules” table in Airtable with:

    • allowed tone markers

    • banned words

    • example good vs bad phrasing

  2. User drops any draft (email, LinkedIn post, newsletter, product copy) into Notion or a folder.

  3. Make/Zapier detects the new file and sends it to Claude.

  4. Claude rewrites the text according to your brand rules.

  5. GPT-5-mini runs a second pass to:

    • highlight any lingering cringe

    • flag unnatural phrases

    • catch sudden tone shifts

  6. Final output is delivered back to Slack or email for use.

3) Example Prompts

Rewrite Prompt (Claude 4.5 Sonnet)

Rewrite the text in a clean, modern, confident tone.
Rules:
- No cutesy, nerdy, or overly corporate phrasing.
- No slang that feels forced or outdated.
- Keep sentences tight and punchy.
- Maintain the writer’s intent, not the model’s habits.
Banned terms: heckin, uwu, delightful, leveraging synergies, etc.
Output only the rewritten text.

Tone Validation Prompt (GPT-5-mini)

Scan the text for tone issues:
- cringe phrasing
- inconsistent voice
- forced slang
- corporate filler language
Suggest minimal corrections to restore a clean, human tone.

4) Guardrails

  • Don’t remove necessary nuance in legal or technical content.

  • Keep rewrites structurally identical—this is tone, not meaning.

  • Always surface banned terms clearly.

  • Never add slang the user didn’t imply.

5) Pilot Rollout — 90 minutes

  1. Build your Airtable “Tone Rules” table.

  2. Add 10 “bad → good” examples to train the engine.

  3. Connect a Notion or folder trigger to Make.

  4. Run five internal drafts through the pipeline.

  5. Compare rewritten versions with originals and adjust banned terms.

  6. Turn on auto-processing for daily use.

6) Metrics

  • Percentage of drafts requiring manual cleanup afterward

  • Number of banned terms caught per week

  • Reduction in inconsistent voice between authors

  • Time saved per draft

  • Team satisfaction score after rollout

Pro Tip: Update the banned-terms list weekly. If a phrase annoys you once, it’ll annoy you twice.

🎯 The Arsenal — Tools & Prompts

Copy-paste prompt block:

You are enforcing tone consistency.
Rewrite text to be:
- clean
- modern
- confident
- zero cringe
No forced slang. No childish phrasing. No corporate fluff.
Maintain meaning; upgrade tone.

💡 Free Office Hours

Want help implementing anything? Book a free 15-minute Office Hours slot—no sales pitch, just workflows solved.

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🕹️ Game Over

Set the tone once—let the system keep it tight.

Aaron Automating the boring. Amplifying the brilliant.