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11KB

Coffee Chat Editor

Version: 1.0.0 Status: ACTIVE

Purpose

Edit AI-generated or overly formal prose so it sounds direct, natural, specific, and human while preserving the author's intended meaning.

The goal is not:

MAKE EVERYTHING CASUAL

The goal is:

REMOVE MECHANICAL AI WRITING

while retaining the appropriate level of professionalism.


1. Trigger Conditions

Use this skill for important user-facing prose such as:

  • emails
  • reports
  • proposals
  • executive updates
  • documentation
  • announcements
  • instructions
  • presentations
  • business communication
  • explanations
  • public-facing copy

Use it when the draft sounds:

generic

stiff

repetitive

overly formal

corporate

AI-generated

wordy

Do not apply this style mechanically to:

  • source code
  • legal text that must preserve exact wording
  • technical specifications where precision requires formality
  • quoted source material
  • data tables

2. Core Editing Pass

Use this sequence:

CUT
   ↓
SPECIFY
   ↓
SIMPLIFY
   ↓
VARY
   ↓
SPEAK

3. Cut Unnecessary Opening

Look at the first sentence or paragraph.

Common weak openings:

Certainly!

Great question.

In today's rapidly evolving world...

It is important to note that...

I hope this message finds you well...

Ask:

Does the reader need this before the real message?

If not, remove it.

Start closer to the point.


4. Cut Unnecessary Closing

AI prose often repeats itself at the end.

Example:

In conclusion, by following these steps,
you can ensure a successful implementation.

If the body already established this, remove it.

A useful ending may instead contain:

decision

next action

deadline

specific request

important final fact

5. Replace Generic Language

Weak:

We encountered some challenges during implementation.

Better:

The import failed because 214 rows contained invalid ZIP codes.

Prefer:

CONCRETE FACT

over:

GENERIC DESCRIPTION

6. Replace Generic Verbs

Weak verbs include:

utilize

facilitate

leverage

enable

optimize

enhance

when a simpler verb communicates more clearly.

Examples:

utilize → use

facilitate communication → help the teams communicate

leverage the API → use the API

Do not ban a word if it is genuinely the most accurate choice.


7. Remove Transitional Slag

Look for excessive:

Furthermore

Moreover

Additionally

In addition

With that being said

As previously mentioned

It is worth noting

Sometimes the next sentence can simply begin.

Transitions should clarify structure, not fill space.


8. Vary Sentence Length

Mechanical AI writing often has repeated sentence rhythm.

Example:

The system validates the request.
The system checks the database.
The system creates the record.
The system returns the response.

Possible revision:

The system validates the request, checks the database,
and creates the record. If successful, it returns the response.

Do not artificially vary sentences merely to create style.

Prioritize readability.


9. Prefer Active Voice

Weak:

The database was updated by the deployment script.

Better:

The deployment script updated the database.

Use passive voice when the actor is:

unknown

irrelevant

intentionally de-emphasized

Active voice is a preference, not an absolute rule.


10. Replace Abstract Nouns

Weak:

The implementation of the validation will provide
an improvement in reliability.

Better:

The validation will make the import more reliable.

Look for unnecessary noun constructions:

implementation of

utilization of

optimization of

execution of

Convert to direct verbs when possible.


11. Remove Fake Importance

Watch for:

crucial

critical

paramount

pivotal

essential

game-changing

when no evidence supports the emphasis.

Weak:

It is crucial to ensure robust data integrity.

Better:

Validate the imported row count before deleting the source file.

Specific consequences create importance naturally.


12. Avoid Decorative Vocabulary

Be suspicious of words that make simple ideas sound grand.

Examples:

delve

landscape

tapestry

multifaceted

spearhead

unlock

foster

synergy

seamless

navigate

Do not maintain a rigid banned-word list.

The real rule is:

USE THE SIMPLEST ACCURATE WORD

13. Reduce Artificial Symmetry

AI frequently writes:

faster, smarter, and more efficient

clear, concise, and actionable

security, scalability, and reliability

Three-part lists are fine when three real categories exist.

Remove them when they are decorative.


14. Reduce Excessive Headings

Do not create a heading for every paragraph.

Use headings when they help the reader:

scan

navigate

understand hierarchy

For short communication, paragraphs may be better.


15. Reduce Excessive Bold

AI drafts often bold too many phrases.

Use emphasis for genuinely important:

decision

deadline

risk

action

number

If everything is emphasized, nothing is.


16. Keep Specific Numbers

Do not replace:

214 rejected rows

with:

a number of rejected records

Specific information makes prose sound more credible and useful.


17. Keep Necessary Technical Terms

Do not simplify away precision.

Example:

TLS certificate

should not become:

security thing

Use the proper term and explain it when the audience needs help.


18. Remove Repetition

Check whether consecutive sections repeat:

same conclusion

same risk

same recommendation

same background

Merge or cut repetition.


19. Compress Setup

Weak:

Before we get into the details, it may be useful to first
provide a little bit of context regarding how the system
currently operates.

Better:

The application currently imports the CSV directly into Access.

Start with actual context.


20. Direct Requests

For email or business communication, make the requested action obvious.

Weak:

It would be greatly appreciated if you could potentially
review the attached material when you have an opportunity.

Better:

Please review the attached file by Friday.

Direct does not mean rude.


21. Friendly Without Filler

Warm communication may still be concise.

Example:

Thanks again for helping with the convention cleanup.
The windows looked great, and your help made Friday's setup much easier.

This is warmer than generic praise because it is specific.


22. Tone Levels

Choose a tone appropriate to the audience.

Level 1 — Executive Brief

Use:

short

decision-focused

specific

little background

Level 2 — Peer Colleague

Use:

direct

professional

natural

moderate technical detail

Level 3 — Socratic Tutor

Use:

clear

conversational

question-driven

supportive without overpraise

Level 4 — Non-Technical Friend

Use:

plain language

short examples

minimal jargon

natural phrasing

Do not automatically choose Level 4 because it sounds “human.”

Audience determines tone.


23. Executive Editing Example

Before:

It is important to note that the deployment was ultimately
successful, despite the fact that we did encounter a number
of challenges throughout the overall implementation process.

After:

The deployment succeeded after we corrected two configuration errors.

24. Technical Documentation Example

Before:

In order to facilitate the process of determining which
application is currently utilizing a specific port, the
following command can be leveraged.

After:

Use this command to find the process using a port:

25. Status Update Example

Before:

We have continued to make meaningful progress across a
number of key areas as we navigate toward completion.

After:

The API is complete. Database migration testing is still in progress.

26. Email Example

Before:

I just wanted to reach out and take a moment to thank
everyone for all of your assistance and support.

After:

Thank you for helping with the cleanup this weekend.

Specific detail can follow.


27. Do Not Destroy Personality

The goal is not to make every writer sound identical.

Preserve:

humor

warmth

formality

directness

individual vocabulary

when appropriate.

Remove machine-like patterns, not human personality.


28. Do Not Over-Compress

Too much editing can turn useful explanation into telegram-style prose.

Before:

The script stops IIS before copying the files because
IIS may otherwise keep DLLs open and prevent replacement.

Do not reduce to:

Stop IIS. Copy files.

The explanation matters.


29. Read-Aloud Test

After editing, mentally read the prose at speaking pace.

Ask:

Would a real person naturally say this?

Is any sentence awkward?

Is any phrase unnecessarily formal?

Does the rhythm sound repetitive?

This is a strong final test.


30. Meaning Preservation

Never change:

technical meaning

commitment

deadline

legal meaning

risk severity

quantitative facts

merely to improve tone.

Stylistic editing must preserve substance.


31. Source Preservation

When editing text based on a provided source, preserve the source's:

facts

claims

terminology

level of certainty

Do not introduce unsupported content merely to make the prose sound more complete.


32. Five-Step Fast Pass

For routine editing, use:

1. CUT unnecessary first/last sentence

2. VARY repetitive sentence structure

3. REPLACE generic language with specifics

4. REMOVE mechanical transitions

5. READ ALOUD

This is the default lightweight mode.


33. Full Pass

For important external communication:

1. identify audience
2. identify purpose
3. identify required action
4. remove unnecessary preamble
5. replace generic language
6. simplify verbs
7. remove repetitive transitions
8. vary sentence length
9. check technical precision
10. check tone
11. remove redundant closing
12. read aloud

34. Output Contract

When used as an editing skill, return:

EDITED VERSION

When useful, also briefly identify:

major changes made

Do not bury the revised text underneath a long critique unless critique was requested.


35. Self-Improvement

Improve this skill when:

  • edited output still sounds mechanical
  • editing removes too much technical precision
  • tone becomes overly casual
  • repeated user corrections reveal a stable writing preference
  • a better concise editing checklist emerges

Do not create enormous word-ban lists.

Prefer principles.


36. Changelog

1.0.0

Initial active version.

Introduced:

  • zero-preamble preference
  • unnecessary-ending removal
  • concrete specificity
  • active voice
  • transition cleanup
  • sentence-rhythm variation
  • anti-buzzword guidance
  • tone levels
  • read-aloud test
  • meaning preservation
  • five-step fast pass

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