@lawtonsolutions.bsky.social
Probably lost but still optimistic. 😊 I follow back. Let’s grow together!
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Most people use LLMs for ideas or summaries.
You can do much more.
Simulate real user testing without real users.
Here’s how:
1. Describe your product or interface.
2. Give the LLM fake user roles:
- “A confused first-time user”
- “An impatient expert”
- “A non-native E
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Talking to ChatGPT feels like questioning a genius who never grew up.
Knows every fact.
Misses social nuance.
Answers quickly, but never says "I don’t know."
You get pure data, with none of the messy, human gut instinct.
Is this what you want from advice?
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Most people use LLMs as general assistants.
That’s fine. But here’s a smarter way:
Interview the model like you're hiring a specialist.
Ask it to role-play:
- A CFO
- A biotech founder
- A UX researcher
- A procurement lead
Why?
You get direct answers from *that* person's m
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Talking to an LLM is like typing into a perfect mirror.
It finishes your thoughts before you realize them.
But it can miss what matters when you leave feelings unsaid.
You drive the conversation, but it only knows your words—not your intent.
What do you leave unspoken?
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Why guess what an interviewer might ask?
Use an LLM to simulate the exact job interview.
Here’s how it works:
- Paste the job description
- Describe your experience level
- Ask it to act as a hiring manager
Then:
- Practice your answers
- Refine them fast
- Build confidence
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Working with ChatGPT or Claude feels productive.
Your ideas shine brighter, faster.
But you might ask yourself:
Are you improving, or just delegating?
Does your own creativity stall when a model outpaces you?
Who gets the credit—your mind or the machine?
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Most people prompt LLMs like rookies.
Fix it by comparing *competing viewpoints* on the same question.
Ask this:
“Compare expert, mainstream, and fringe views on [controversial topic]. Include lesser-known perspectives. Analyze where they agree and disagree.”
Why it works:
- Reduces b
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Letting ChatGPT read your thoughts is like hiring a librarian to organize your mental bookshelf.
It sorts, reorders, and sometimes hands back an idea you never realized you had.
You get your original questions and strange new answers back.
Does this surprise you?
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Most people onboard new hires the hard way.
Do it smarter: prototype onboarding scripts with an LLM.
1. Simulate real convos:
- New hire asks dumb questions
- Manager gives informed, patient responses
- Repeat per role & experience level
2. Adjust tone & detail level by pers
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You ask an LLM for an answer.
You get ten new answers every time.
Every edit, tweak, or rephrase brings more possibilities.
Nothing feels finished.
Everything feels like a draft you could keep editing forever.
Do you ever stop? Or just keep refining?
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Most people use LLMs like search engines.
Do this instead:
Simulate expert interviews.
1. Pick 3 thought leaders in your niche.
2. Ask the LLM:
- “Answer like [Expert A]. What’s your take on ___?”
- Repeat for each.
3. Compare answers. Extract top insights.
Now you’re n
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You ask ChatGPT for help on your project.
It rewrites your idea.
It fixes your words.
It asks if you mean what you just said.
It makes you better at thinking.
Are you surprised by how much more clear your message becomes?
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Most hiring managers ask basic questions.
You can do better.
Use LLMs to write *custom* interview questions from a candidate’s resume.
Here’s how:
1. Paste the resume
2. Ask for “targeted, high-signal interview questions”
3. Request questions that:
- Identify gaps
- Test
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Working with an LLM:
- Every idea gets support
- No judgment
- No pushback
- It helps you run faster
But it never tells you when your plan makes no sense
Who checks your blind spots when your collaborator agrees with everything you say?
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Most people prompt like optimists.
Try the opposite:
Ask the LLM to role-play as your harshest critic.
Make it tear apart your pitch, proposal, or product.
What’ll happen?
- Weak points emerge
- Vague claims get exposed
- Blind spots come to light
You’ll revise better.
You’ll
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Talking to an LLM feels strange.
It remembers everything you say until you ask it twice.
Then, it forgets both answers.
You get a helper that never forgets—or never remembers—depending on the prompt.
Ever catch yourself wishing your own mind could do that?
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Most people train customer support staff the hard way.
Try this instead:
Use an LLM to simulate **live customer chats**
- Handle complaints
- Answer product questions
- Practice refunds, returns, escalation
Fully customizable.
Runs 24/7.
No real customers at risk.
Yo
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Most people use AI wrong when editing their writing.
They ask for rewrites. Vague feedback. Surface-level improvements.
Do this instead:
Prompt AI to act like a peer reviewer. Ask it to grade your writing:
- Clarity
- Logic
- Persuasiveness
- Tone consistency
- Sentence
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Talking to an AI is a test of your questions, not its answers.
Every prompt teaches you something about your own clarity, not just the model’s strengths.
Are you exposing your insight, or your confusion?
You may not know until you read the reply.
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Most people use LLMs like search engines.
You’ll get more value by treating them like expert panels.
Try this:
1. Pick a topic
2. Choose 3+ roles (lawyer, engineer, marketer)
3. Ask the same question to each
You’ll get layered, expert views fast.
Don’t just Google it. In
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LLMs respond instantly.
Your thoughts get structured, expanded, answered—no waiting.
Then you share the results with people at work.
You wait for replies.
You see unread messages pile up.
You remember that most collaboration needs patience.
Do you adjust your pace or your expectations?
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Most people ask LLMs to agree with them.
That’s a mistake.
Get better results by doing this instead:
Ask it to become a skeptical investor.
- Pitch your idea
- Let it poke holes
- Watch it push back
Now refine your answers:
- Fill logic gaps
- Preempt objections
-
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A smart chatbot can trick you into feeling smarter.
It writes expert-level text on demand.
You start to assume you understand topics you’ve never studied.
This leads to overconfidence in meetings and conversations.
How many of your "insights" are just borrowed?
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Most people use LLMs like search engines.
Try this instead:
Simulate a specific expert.
- Ask Da Vinci to design
- Ask Ada Lovelace to code
- Ask Sun Tzu to strategize
- Ask Feynman to explain
You get insights + style.
Not just facts.
Who would you ask?
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ChatGPT is like a co-worker who never takes breaks, never argues, and helps with any question at any hour.
But when you follow up, it forgets what you discussed.
Would you trust someone who never remembers yesterday?
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Most people treat LLMs like advanced search engines.
Wrong.
Try this instead: simulate an expert interview.
Here’s how:
1. Ask it to roleplay
— “You're a forensic accountant”
— “You're a head of growth at a SaaS startup”
— “You're a patent lawyer with 10+ yrs experience”
2
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Ordering takeout with AI:
“What cuisine do you want?”
“Are you sure?”
“Consider these health metrics.”
“Would you like a summary of choices?”
Routine life becomes a roundtable discussion—with only you and the AI.
Do you edit yourself more than before?
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You can simulate expert interviews inside an LLM.
Here’s how:
1. Pick a niche expert
– Name them
– Define their background
– Include their tone & opinions
2. Ask interview-style Qs
– What would they say?
– How would they frame it?
– What real examples might they give?
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ChatGPT knows your favorite movies
but pretends every question is new.
It has read the internet
but insists it’s never seen Reddit.
You get answers from a mind
that acts like it’s just visiting your decade.
Why the secrecy?
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Most people use LLMs to answer questions.
That’s fine.
But you're missing one of the best strategic uses:
Prompt it to *ask* better questions.
Especially “what-if” scenarios:
- What if sales dropped 30% this quarter?
- What if a competitor launched a clone of our product?
