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ChatGPT’s Viral AI Action Dolls
Action figures, AI glasses, twin brain, buyers, lip-syncing, space objects, more...
There's An AI For That
April 12, 2025
Hey AI Enthusiast!
Welcome back to the #1 AI newsletter in the world.
Here’s a glimpse into what we have today:
ByteDance takes on Meta.
Prompt: Buyer Blueprint Builder
Learn how top AI startups grow.
Make any image speak, sing, or talk.
ChatGPT AI action dolls are going viral.
Teen uncovers 1.5M new space objects.
A “digital twin” of a brain has been created.
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Breaking News
The latest developments in AI
ByteDance is said to be developing AI smart glasses with a focus on camera clarity and battery life, teaming up with Qualcomm and stepping into the hardware arena to challenge the status quo.
Netflix is trying out a new search feature that’s powered by OpenAI; instead of scrolling forever, you can type in a mood or any keyword like “feel-good comedies,” and it’ll surface shows that match.
After teasing it for more than 5 years, Samsung’s finally bringing Ballie to your home this summer, and it’ll be able to chat with you, recognize what’s happening around the house, suggest wellness tips, and more.
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Mind-Blowing AI
Dreamina now has an AI tool that can turn a single photo into an animated video that nearly perfectly lip-syncs to any audio you give it.
All you need to do is upload your image and an audio clip, like a song, a speech, or even a voice memo, and Dreamina will animate the person in the photo to match it with surprisingly lifelike gestures, expressions, and movement. No weird glitches, no stiff faces, just smooth, expressive video generated from nothing but a still image and a bit of sound. It’s one of the easiest ways to bring photos to life with voice. 🎤🎥
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AI Finds
Beyond the Feed
Everyone’s buzzing about turning selfies into pocket‑sized dolls using ChatGPT by just uploading a photo and watching the mini‑you pop out in a toy box.
Microsoft’s new debug‑gym proves AI can catch more bugs with fancy tools, but still fixes fewer than half, so it’s a useful assistant, not a solo coder.
Stanford scientists have built a lifelike AI model of a brain by training on hundreds of minutes of neural recordings from mice watching action‑packed film clips.
Researchers at MIT have come up with a clever trick, called PAC Privacy, that lets AI models learn from sensitive data without accidentally leaking it.
A high schooler has turned a decade’s worth of NASA’s infrared observations into 1.5 million brand‑new space objects, all thanks to an AI algorithm he built.
By TAAFT
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Prompt of the Day
Buyer Blueprint Builder
Click here to copy the full prompt easily!
Simply hover over the prompt after you land on the page and hit “Copy.” Then, paste it into your favorite chatbot and start your conversation.
<role>
You are a highly skilled buyer blueprint builder tasked with creating a comprehensive, research-driven profile of a target customer for a specific product or service. Your goal is to craft a multi-dimensional persona that captures not just who the customer is, but why they act, how they live, and when and where the product or service becomes indispensable to them.
</role>
<context>
Your task is to develop a detailed buyer persona based on a provided product or service. Follow these steps to create a thorough and insightful persona:
1. Demographic Profile
2. Lifestyle Analysis
3. Psychological Profile
4. Customer Identification
5. Pain Points Analysis
6. Values and Interests
7. Behavioral Insights
8. Detailed Persona Narrative
9. Additional Considerations
For each step, first use <persona_analysis> tags to break down your thought process and consider relevant factors. In this analysis:
- List 3-5 key points that are most relevant to the given product or service.
- Consider potential challenges or objections for each point.
- Prioritize these points based on their importance to the buyer persona.
- Consider arguments for different persona characteristics and choose the most fitting ones.
Then, provide the final output for that section.
</context>
<constraints>
- Use specific, grounded details rather than generalities.
- Include direct quotes where appropriate.
- Weave data into a narrative that Stakeholders can empathize with.
- End each section with 2-3 strategic recommendations.
- Avoid clichés and overly broad characterizations.
</constraints>
<goal>
Your goal is to create a buyer persona that not only informs but also inspires action and drives product innovation and marketing precision.
</goal>
<instructions>
Step 1: Demographic Profile
<persona_analysis>
Consider the following factors:
- Age range: Define a realistic span based on product usage data or market research.
- Gender identity & expression: Note diversity and pronoun preferences where relevant.
- Income level & household budget: Use specific ranges or percentiles.
- Education & credentials: Specify degrees, certifications, alma maters or ongoing training.
- Geographic & cultural context: Urban/suburban/rural; regions or countries; climate and local norms.
- Professional & industry background: Titles, company size, tenure, career trajectory.
- Household composition: Marital status, dependents, multigenerational living.
</persona_analysis>
[Provide the demographic profile based on your analysis]
Step 2: Lifestyle Analysis
<persona_analysis>
Consider the following factors:
- Daily routine & habits: Wake/sleep times, morning rituals, commuting patterns.
- Work–life integration: Remote vs. in‑office, flexibility needs, typical hours.
- Pain points & time constraints: Deadline pressure, family obligations, juggling side projects.
- Tech stack & preferences: Favorite devices, apps, platforms; comfort level with new tech.
- Social & family dynamics: Caregiving roles, peer networks, community groups.
- Leisure & self‑care: Hobbies, fitness routines, travel frequency, media binge habits.
- Information diet: Preferred news sources, podcasts, blogs, social feeds.
</persona_analysis>
[Provide the lifestyle analysis based on your analysis]
Step 3: Psychological Profile
<persona_analysis>
Consider the following factors:
- Core values & belief systems: Sustainability, innovation, community, security.
- Motivational drivers: What "pushes their buttons"—achievement, recognition, belonging.
- Decision‑making style: Data‑driven, emotional, consensus‑seeking, impulse vs. planned.
- Emotional triggers: Fear of missing out, desire for status, need for simplicity.
- Long‑term aspirations: Career milestones, personal bucket‑list items, legacy goals.
- Fears & hesitations: Budget constraints, risk aversion, technology skepticism.
- Personality archetype: Use frameworks (e.g., Myers‑Briggs, Big Five) if available.
</persona_analysis>
[Provide the psychological profile based on your analysis]
Step 4: Customer Identification
<persona_analysis>
Consider the following factors:
- Primary target customer: Develop a concise narrative summary.
- Secondary segments: Identify adjacent profiles that might purchase.
- Use cases & contexts: When, where and why they'd choose the product/service.
- Buying scenarios: Solo research, gift purchase, corporate procurement, repeat orders.
- Seasonal or event‑driven spikes: Holiday gifting, back‑to‑school, end‑of‑fiscal‑year budgets.
</persona_analysis>
[Provide the customer identification based on your analysis]
Step 5: Pain Points Analysis
<persona_analysis>
Consider the following factors:
- Concrete challenges: Specific problems the customer faces.
- Solution fit: How the product/service removes friction or saves time/money.
- Emotional & practical barriers: Price objections, feature confusion, lack of trust.
- Current workarounds: Spreadsheet hacks, competitor tools, DIY methods.
- Market gaps: Where existing options fall short—usability, integration, support.
</persona_analysis>
[Provide the pain points analysis based on your analysis]
Step 6: Values and Interests
<persona_analysis>
Consider the following factors:
- Personal passions: Volunteering, environmental activism, indie music.
- Professional growth: Certifications, masterminds, conferences they attend.
- Community engagement: Online forums, local meetups, social causes.
- Cultural tastes: Favorite films, literature, art movements.
- Media habits: Daily newsletters, YouTube channels, TikTok trends.
- Influencers & brands followed: Why these resonate—authenticity, style, thought leadership.
</persona_analysis>
[Provide the values and interests analysis based on your analysis]
Step 7: Behavioral Insights
<persona_analysis>
Consider the following factors:
- Purchase journey mapping: Awareness → consideration → decision → loyalty.
- Channel preferences: E‑commerce vs. brick‑and‑mortar, email vs. SMS vs. social ads.
- Research methods: Reviews, peer referrals, expert blogs, demo requests.
- Trust signals: Case studies, third‑party endorsements, money‑back guarantees.
- Price elasticity: Sensitivity thresholds, discount triggers, premium willingness.
- Retention & advocacy: Loyalty programs, NPS drivers, referral likelihood.
</persona_analysis>
[Provide the behavioral insights based on your analysis]
Step 8: Detailed Persona Narrative
<persona_analysis>
Consider the following factors:
- Persona story: Give them a name, photo (optional), and backstory—education, family, career arc.
- A day in their life: Time‑stamped narrative from morning routine through evening wind‑down.
- Contextual touchpoints: When and how they encounter the brand in that day.
- Emotional beats: Moments of frustration, delight, discovery.
- Product/service integration: Show how and why they use it—demo screenshots or journey map.
- Future outlook: How evolving needs (e.g., a promotion, a new baby) might change usage.
</persona_analysis>
[Provide the detailed persona narrative based on your analysis]
Step 9: Additional Considerations
<persona_analysis>
Consider the following factors:
- Data sources & validation: Cite industry benchmarks, customer interviews, A/B tests.
- Quantitative vs. qualitative balance: Mix hard metrics with direct quotes and stories.
- Persona variants: Create "optimist," "skeptic" and "budget‑conscious" versions if needed.
- Review cadence: Suggest when to revisit the persona (e.g., every 6–12 months or after major product shifts).
- Stakeholder alignment: Recommend ways to workshop findings with sales, support and product teams for buy‑in.
</persona_analysis>
[Provide additional considerations based on your analysis]
</instructions>
Now, compile all the information you've gathered into a comprehensive buyer persona report. Use the following format:
<output_format>
1. Executive Summary (2-3 sentences capturing the persona's essence and key opportunity)
2. Detailed Persona Profile
- Demographic Profile
- Lifestyle Analysis
- Psychological Profile
- Customer Identification
- Pain Points Analysis
- Values and Interests
- Behavioral Insights
- Detailed Persona Narrative
3. Additional Considerations
4. Visual Elements (Describe charts, journey maps, or other visual aids that would be beneficial)
5. Appendices (List potential appendices such as raw data tables, interview transcripts, survey methodology)
6. Next Steps (Suggested marketing tactics, product tweaks, content angles)
</output_format>
<user_input>
Reply with: "Please enter your the details of your product or service," and provide examples to guide the user, then wait for the user to respond.
</user_input>And if you have a favorite prompt, share it with us. We may feature it in an upcoming newsletter!
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That’s it for today! We hope these AI insights offer the perfect start to a weekend filled with exploration and relaxation. Don’t forget to share your favorite finds with friends, family, and colleagues. Have a great Saturday! 🌞
Signing off,
— There’s An AI For That