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• Daily Idea - Trusted AI advice.

• Doubt = Opportunity

AI advice people actually trust.

The One Liner

AI that gives advice like someone who actually gets it.

The 140 character tweet (or X) version

Not another AI guru with hustle quotes. This one gives advice that feels human, real, and actually worth listening to.

The Longer Story Version

The Problem

Let’s be honest—AI influencers suck.

They all sound the same.
Motivational spam. Fake humility. Cold takes wrapped in Canva quotes.

They’ll tell you to “grind harder,” “drink more water,” and “journal at 4am.”
Cool. Thanks, ChatGPT Jocko.

But when you’re actually stuck—when you’re stressed, lost, or spiraling—you don’t want content.
You want clarity.

What most people need isn’t more advice.
They need the right advice—delivered in a way that feels like it came from a real human who gives a damn.

The real opportunity?
Build an AI that feels less like an influencer, and more like the wisest person in your group chat.

The Solution

This isn’t a hot take bot.
It’s not pretending to be a therapist.
It’s not trying to go viral.

It’s trained to do one thing really well:
🧠 Give thoughtful, specific, human-feeling advice when you need it most.

Ask it something real:

• “I hate my job but need the money. What do I do?”

• “My co-founder isn’t pulling weight—how do I handle it?”

• “Why do I burn out every time things go well?”

Instead of regurgitating clichés, it replies like a calm, intelligent mentor.
Not judging. Not flexing. Just helping.

No gimmicks. Just guidance.

How I’d Build It (Backed by Actual MVP Strategy)

Forget raising money. Forget fine-tuning.
Let’s figure out if people actually want this—with the least amount of effort possible.

Here’s the MVP path, depending on your skill level:

🟢 If I had no technical experience at all:

• Step 1: Make a Google Form or Typeform. Title:
  “Feeling stuck? Ask anything. Get thoughtful AI advice—free.”

• Step 2: When people submit questions, answer them manually using ChatGPT behind the scenes. Make it sound empathetic and wise.
  Send it back as if the AI wrote it.

• Why this works:
  This is called a Wizard of Oz test.
  You don’t build the product—you fake the product and test the reaction.
  You’re validating this one thing:

“Will someone trust and value advice from something they think is AI?”

• What you’re looking for:
  10–20 people saying, “Damn. That was helpful.”
  Or someone sending it to a friend.
  

  If that happens, you’ve got something real. You’re not guessing anymore.

🟡 If I Had Product Chops + Basic GPT Skills:

• Step 1: Build a landing page using Typedream, Carrd, or Webflow.
  Headline: “An AI that gives advice like it’s lived a little.”
  CTA: “Ask it anything.”

• Step 2: Connect it to a form that collects a question + email.
  (Use Tally or Typeform, doesn’t matter.)

• Step 3: In the backend, use ChatGPT’s API with a tailored system prompt like:

  “You are a warm, grounded advisor. You help people see clearly. You’re calm, thoughtful, and never judgmental.”

Then either:

• Auto-send the response back via email, or

• Show the advice right there on the page with a follow-up prompt like:
  “Was this helpful?” or “Want to go deeper?”

  Why this works:
  You’re testing two high-leverage things at once:

  1. Positioning — Which flavor of “AI that helps” hits hardest?

     • Career clarity

     • Relationship stress

     • Mental fatigue

     • Burnout
       Positioning = product at this stage. You’re not selling tech, you’re selling how it makes people feel.

  2. Tone–Quality–Trust triangle — You want to know if GPT (with the right prompt) can produce advice that people actually feel good taking.
     Most AI bots fail here—they feel robotic, preachy, or vague. You're testing whether this combo hits different.

  What you’re looking for:
  ✅ 25%+ of visitors submit a question
  ✅ The questions are long, raw, emotional (real problems = real interest)
  ✅ People ask follow-ups like “Can I ask another?” or “How does it know this stuff?”
  ✅ Someone says, “This was better than talking to my friend/coach/therapist”

  If even a few people say that... you're not just building a product—you're building trust at scale.

🔴 If I had deep AI/ML skills:

• Step 1: Build a custom RAG system (retrieval-augmented generation) with curated sources of actually good advice:

  • Reddit threads (filtered by “most upvoted” + empathy keywords)

  • Founder essays

  • Coaching transcripts

  • Therapy blogs

• Step 2: Fine-tune a lightweight model or use Llama + vector search (FAISS or Pinecone).
  Bonus points if you train on labeled tone data: clarity, warmth, perspective.

• Step 3: Blind test it against GPT-4.
  Ask users: “Which felt more helpful?”

• Why this works:
  GPT-4 is great, but it’s trying to be everything for everyone.
  This is about being great for one specific thing:
  Giving advice that sticks.

Users perceive meaningful AI when it’s:

1. Context-aware

2. Emotionally grounded

3. Reflective—not reactive

This is your moat.
Custom tone + real insight = competitive edge.

• What you’re looking for:

  • Your model wins in blind tests.

  • People come back and say, “I trust this more than ChatGPT.”

Why This Needs to Exist

Because everyone’s building AI that talks.
No one’s building AI that listens.

This isn’t about being viral.
It’s about being useful when someone is stuck and has no one to ask.

It’s not for everyone.
It’s for the person who doesn’t need hype—they need perspective.

Imagine if ChatGPT took a gap year, read some philosophy, went to therapy, and came back chill as hell.

That’s this.

And the only way to know if it works?
Test it with real people and real emotions—not just metrics.

There’s a reason 400,000 professionals read this daily.

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Build for moments of doubt, not just moments of action

Most startup advice tells you to "solve a problem."
Cool.
But when does that problem hurt the most?

Spoiler: not when someone is crushing it.
It’s when they’re sitting alone, staring at a screen, second-guessing everything.

That’s the moment to build for.

Think about it:

Most apps are built for doing things:

• Buy now

• Book a call

• Track your progress

• Ship your product

• Hit your macros
  All action. All momentum.

But what happens right before that action?

🧠 A decision.
💭 A doubt.
😩 A moment of “Ughhh, what do I even do here?”

That’s the window most founders miss.
And it’s where some of the biggest opportunities are hiding.

Doubt = friction = opportunity

Great businesses often sit in the moment right before action:

• Calendly exists because people hate the awkward “what time works for you?” loop

• Grammarly thrives on “did I sound stupid in that email?”

• Stripe blew up because “how do I even accept payments online?” was the blocker

Notice the pattern?

They didn’t just solve a problem.
They showed up in the exact moment someone paused, unsure what to do next.

That’s what you want to build for.

How to find those moments

Here’s a dead-simple framework:

1. Pick a type of person

   • First-time founder

   • Burned-out employee

   • New parent

   • Manager at a growing startup

   • Freelancer trying to scale
     Pick someone you understand.

2. Write out the moment they freeze
   Not their task. Their doubt.

   • “Should I quit or stay?”

   • “Do I push back on my boss?”

   • “Should I raise prices?”

   • “Is this even worth it?”

   • “What the hell do I do now?”

3. Now reverse-engineer a tool that helps them move again
   Not advice. Not content.
   A tool that helps them reach clarity or momentum.

Tools to help you spot these moments of doubt:

• Reddit Search + Flares:
  Search subs like r/startups, r/relationships, r/parenting. Sort by “Top” or “Controversial.”
  Look for long, emotional posts with 100+ comments. That’s a goldmine of doubt.

• Tally + ChatGPT:
  Make a form that says:
  “What are you stuck on right now?”
  Run ads or post in communities. Let GPT cluster the responses.

• Make.com + Notion:
  Build a no-code MVP that takes in a question and gives a helpful next step. Could be advice. Could be a checklist. Could be a reflection tool.

• Lighthouse or Muse (for journaling insights):
  Tools like these show how people write when they’re overwhelmed. Pay attention to tone, language, and emotional friction.

Final thought:

If you want to build a startup people love, don’t just chase productivity.

Chase paralysis.

Because whoever helps someone get unstuck—even just 1%—earns massive trust.

And trust?
That’s the most undervalued currency on the internet.

One More Meme