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- June 10, How can you get started on a challenging task by asking a chatbot for help?
June 10, How can you get started on a challenging task by asking a chatbot for help?
For example, it can be hard starting a weekly newsletter post just thinking of topics.

I decided to ask Chatgpt and other chatbots to suggest some topics for a newsletter on Personal AI. I call it “Ideation” This is what they told me:
First I asked Openai ChatGPT : “Can you suggest ideas for for topics for a Personal AI Newsletter?”
This is what chatGPT 4o told me:
Absolutely. Here’s a range of creative, useful, and future-proof ideas for a personal AI newsletter—whether your goal is to build authority, educate an audience, or simply document your journey. These are grouped by theme, and any of them can stand alone or be combined into a recurring content strategy.
⚙️ AI Tools & Workflows (Hands-On Focus)
Tool of the Week
Break down one AI tool each week (e.g. Midjourney, GPT-4o, Perplexity, MindStudio), with a real use case and a mini-demo.Workflows Unlocked
Showcase how to use tools like n8n, Make, LangChain, CrewAI, etc., to automate or extend human capability.“I Tried It So You Don’t Have To”
Weekly honest reviews of new AI SaaS tools or LLM-based platforms—speed, quality, UX, cost, and use cases.
🧠 Thinking in the Age of AI (Conceptual + Educational)
Prompt Alchemy
Share experiments with prompt design, showing how small prompt changes lead to big output shifts.Cognitive Edge
Explore how AI changes the way we think, write, create, or perceive truth. Blend neuroscience, philosophy, and tech.AI x Mental Models
Curate and reinterpret popular decision-making models (e.g. second-order thinking, OODA loops) with AI-enhanced examples.
📈 Future Signals & Trendwatching
Signal Scouting
Short entries on where AI is heading (e.g. AI in diplomacy, nanotech + AI, biotech-AI crossovers, post-scarcity economics).The AI Frontier Log
Document your weekly dive into new papers, releases, startups, or venture capital trends—what’s coming, what’s noise.AI Markets + Monetization
Analyze business models of new AI companies, how they make money, and how others can replicate or adapt them.
🧪 Personal AI Experiments (Narrative + Exploratory)
AI Diaries: What I Built This Week
Open-source your learning. Each issue focuses on a mini-project, agent experiment, or workflow you tested.Conversations With My AI
Share the actual dialogue you had with your AI assistant or multi-agent setup, with commentary on what it taught you.100 AI Wrong Turns
Reflect on misconceptions or failed experiments you’ve had while building or learning in AI, and what they revealed.
🎨 Human Meets Machine (Creative/Aesthetic)
AI + Artifacts
Explore how AI helps generate media: images, videos, music, poetry. Deconstruct prompts and styles.AI x You
Talk about how your identity or creative style is changing with AI (could blend personal growth, aesthetics, or productivity).Dreams of the Machine
Philosophical or poetic pieces imagining how AI might perceive, dream, or evolve.
🧩 Community & Interaction
Reader Challenges
Post a weekly build challenge or prompt contest (e.g. "best AI-generated tool idea for teachers" or "weirdest GPT use").The AI Inbox
Publish Q&A from your readers and your AI’s responses—turn your newsletter into a living dialogue.Clone Me
Share your evolving “AI twin” – a clone of your knowledge and workflows – and let readers interact with it or build their own.
Would you like help choosing one theme and turning it into a 5-issue starter arc (e.g. for Substack, Beehiiv, or Medium)?
These are all great suggestions and I should never run out of ideas for topics.
then i decided to ask Perplexity.ai the same question, and it told me:
Absolutely! Creating a personal AI newsletter is a fantastic way to share your passion, keep up with the field, and connect with others interested in generative AI, agents, LLMs, and NLP. Here are a variety of ideas and themes for your newsletter, tailored to your background and interests:
1. Weekly AI News Roundup
Summary: Curate the most important news, research papers, and breakthroughs in AI, LLMs, and agent-based systems.
Example Sections: Top headlines, notable research, new tools, upcoming events.
2. Deep Dive Series
Summary: Pick a topic each week or month and go in-depth (e.g., “How LLMs Work,” “Building Autonomous Agents with CrewAI,” “LangGraph Explained”).
Example Sections: Background, technical details, code snippets, use cases.
3. AI Tools & Libraries Spotlight
Summary: Review or showcase new and interesting AI tools, libraries, or frameworks.
Example Sections: Tool overview, installation guide, example usage, pros/cons.
4. Tutorials & How-Tos
Summary: Step-by-step guides for building projects with AI, agents, or NLP.
Example Sections: Project idea, code walkthrough, results, challenges.
5. AI Agent Swarms & Collaboration
Summary: Explore the potential and challenges of multi-agent systems, swarm intelligence, and collaborative AI.
Example Sections: Case studies, technical insights, code examples.
6. Interview Series
Summary: Interview other AI enthusiasts, researchers, or developers.
Example Sections: Interview highlights, Q&A, key takeaways.
7. Community Spotlight
Summary: Feature interesting projects, people, or communities in the AI space.
Example Sections: Community news, project showcase, event announcements.
8. Ethics, Policy, and Impact
Summary: Discuss the ethical implications, policy issues, and societal impact of AI technologies.
Example Sections: Opinion pieces, news analysis, resources.
9. AI in the Wild
Summary: Share real-world applications of AI, agents, and NLP in different industries.
Example Sections: Industry case studies, success stories, lessons learned.
10. Reader Q&A and Challenges
Summary: Answer reader questions or set up monthly challenges for the community.
Example Sections: Reader questions, challenge prompts, solutions.
Tips for Getting Started
Define Your Niche: Focus on what excites you most—agents, LLMs, NLP, or all of the above.
Consistency: Decide on a publishing schedule (weekly, biweekly, monthly).
Engage Your Audience: Encourage feedback, questions, and submissions from readers.
Experiment: Try different formats and see what resonates most with your audience.
If you’d like, I can help you outline a sample newsletter or suggest tools for distribution (like Substack, Beehiiv, or Ghost). Let me know your preferences!
Nice !! Now here’s what Claude Told me:
Here are some compelling angles for a personal AI newsletter:
Experience-Based Approaches:
"AI in My Daily Life" - Document your real experiments with AI tools, what worked, what didn't, and practical lessons learned
"Building with AI" - Chronicle your journey creating AI-powered projects, from simple automations to more complex applications
"AI Tool Testing" - Weekly reviews of new AI tools, with honest assessments of their usefulness and limitations
Educational Formats:
"AI Concepts Explained Simply" - Break down complex AI topics (transformers, fine-tuning, RAG) into digestible explanations
"AI Paper Summaries" - Distill important research papers into key insights for non-researchers
"AI History & Context" - Explore how current developments connect to AI's broader evolution
Industry-Focused:
"AI for [Your Profession]" - Curate AI developments specifically relevant to your field (marketing, finance, healthcare, etc.)
"AI Business Impact" - Analyze how AI is changing specific industries and business models
"AI Ethics & Society" - Examine the broader implications of AI adoption
Curation & Commentary:
"This Week in AI" - Your personal take on the most significant AI news and developments
"AI Signal vs Noise" - Cut through AI hype to highlight genuinely important developments
"Practical AI" - Focus exclusively on AI applications that solve real problems today
What's your background or area of expertise? That could help narrow down which approach might resonate most with your potential audience.
Don’t let anyone tell you that Chatbots aren’t helpful.
Now I have to start picking out certain topics and getting more detail about them
Have you looking into learning n8n yet?
it can let you:
automate non ai tasks,
setup automated ai workflows that can include ai agents in them,
build ai agents that take more responsibility for deciding the course of the application flow or
create complete complex agentic ai applications that in turn can migrate to a python environment to do some things n8n can’t do such as parallel operation, using specialized python libraries, train models or use low level hardware acceleration., etc. .
Perplexity.ai has a nice list and description of the differences.
Can a chatbot be a store? Should ebay and amazon worry?
In a future newsletter, we’ll take a look at this. Spoiler: Yes, it can. And all ecommerce platforms should be worried - why? Because it changes how you can look for and find exactly what you want much differently than a search bar or category stroll can.
I could even suggest other possibly better options that what you are asking for or even knew existed.
And it isn’t tied to just what is listed on the platform the way those sites are.
Please forward the newsletter to your social medias of choice.
Get in touch if you want to discuss an AI application or Product by emailing [email protected] with a way for me to reach you
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