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# Those Who Overcommunicate Over Text Might Use LLM Chatbots Better
- URL: https://barbarosozturk.com/blog/those-who-overcommunicate-over-text-might-use-llm-chatbots-better/
- Published: 2026-09-03T15:30:41.000Z
- Updated: 2026-09-03T15:30:41.000Z
- Author: Barbaros
- Tags: Technology, Personal, Artificial Intelligence

You've been told your whole life to stop overexplaining.

"Just say yes/no."  
"You CC'd 20 people on every update."  
"You're sending 5 follow-up messages before waiting for reply."

In the human world, that's annoying. In the LLM world, it's a superpower.

Overcommunicating over text → Better LLM prompting.

The same habit that makes group chats hate you makes ChatGPT love you.

![](https://storage.ghost.io/c/64/81/648165b7-979e-43dd-9c43-02101159f467/content/images/2026/09/2-3.jpg)

### Why Overcommunication Wins With LLMs

LLMs are probabilistic next-token predictors. 

They don't know what you *meant*. They only know what you *wrote*.

**OVERCOMMUNICATING:**  
Share more context — background, goals, constraints

Example: "I'm writing an email to a client who is upset about delay. Tone: apologetic but professional. Audience: small business owner." → more detail

**BETTER LLM PROMPTING:**

- Clear goals & context
- Examples & constraints included
- Specify desired output & format
- Leads to focused, relevant prompt

**RESULTS:**

- LESS ERROR — Fewer hallucinations & misunderstandings
- MORE ACCURATE — Responses match intent
- ACCURATE PROBABILISTIC OUTCOMES — Higher confidence, nuanced, reliable answers

**Tip:** The more context you provide, the better the model can reason → outputs are more consistent & reliable.

> This is exactly what "overcommunicators" do naturally. 

While minimalists write "write email about delay," overcommunicators write: "I'm writing an email to a client who is upset about delay. 

Tone: apologetic but professional. Audience: small business owner. Goal: retain them. Constraint: under 150 words. Example of my style:."\[paste\]

One prompt gives the model 5 tokens of signal. The other gives it 100 tokens of Bayesian prior. More context = less room for error = more accurate probabilistic outcome.

![](https://storage.ghost.io/c/64/81/648165b7-979e-43dd-9c43-02101159f467/content/images/2026/09/3-3.jpg)

### The Overcommunicator Playbook (That Everyone Should Copy)

Ironically, what bad overcommunicators do unconsciously, good overcommunicators do deliberately. Here's how to convert it:

Examples of Overcommunication (the bad version):

- CC'ing 20 people on every update
- Sending 5 follow-up messages before waiting for reply
- Writing 3-paragraph reply when a yes/no would do

Playbook: Communicate Better (the LLM version):

- context: state the background in 1-2 sentences — why this matters now
- goals: define the outcome — what decision or action is needed
- constraints: note limits — time, budget, resources, deadlines
- examples: provide 1 clear sample — keep it concrete and short
- less room for error: confirm understanding — recap & ask "does this work?"

Clear > More. Keep it brief. Confirm understanding.

The best LLM users I know sound exactly like overcommunicators:

"I'm a founder building X, audience is Y, we need to write Z. Tone: like Stripe, not like Apple. Avoid buzzwords. Here's 2 examples I like. Output should be: 3 bullets, <60 words, no em dashes. If unclear, ask."

That's not overcommunicating. That's prompt engineering.

The people who naturally write like that over text — who add background, who state why now, who give examples unprompted — have been training for LLM chatbots for 10 years without knowing it.

Meanwhile, the "just get to the point" crowd writes 4-word prompts and wonders why the AI hallucinates.

In human chat, brevity wins. In LLM chat, context wins.

So next time someone says you overcommunicate: don't fix it. Monetize it. 

You're already better at AI than they are.