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Marketing Plan for AIsa: Insights from a Simulated 100-Person Focus Group
AI-aided marketing plans can actually be worth reading — but only if you prompt for them the right way. My method: instead of asking the AI directly for recommendations, I have it simulate 100 people holding a focus group about the company. Rather than one big conversation, I split them into 20 small groups of 5 (randomly mixed), let each group hash things out independently, then bring all the groups back together to merge their input into specific, actionable suggestions. The result is a 5-to-20-page report, and I always follow it up by distilling that into a one-page summary.
An example we worked on about a company that we have no affiliation with at all: Alsa.
See the 1-page marketing plan summary of AIsa, longer summary available by request.
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Marketing Plan for Faye: Insights from a Simulated 100-Person Focus Group
With the right prompting approach, AI can produce marketing plans that are actually useful. Through experimentation, I’ve discovered that framing the request as a simulated focus group of 100 people discussing the company yields better results than simply asking for direct answers. My process involves dividing this group into 20 breakout sessions of 5 randomly assigned people, allowing them to discuss and deliberate, then reconvening everyone to consolidate their feedback into concrete recommendations. This produces a report ranging from 5 to 20 pages, which I then follow up with a condensed one-page summary.
To demonstrate on a random organization who I have no affiliation with: Faye, a travel insurtech.
See a 1-page marketing plan summary of Faye, longer summary available by request.
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Marketing Plan for Venice.ai: Insights from a Simulated 100-Person Focus Group
With some careful prompting, Claude.ai can help produce genuinely useful marketing plans. Through trial and error, I’ve found that framing the task as a fictitious 100-person focus group discussing the company works better than just asking for answers directly. I split the group into 20 random breakout rooms of 5 people each, let them deliberate, then bring everyone back together to synthesize their input into a set of recommendations. From there, I generate a 5-20 page report, followed by a 1-page summary.
Let me demonstrate on a random organization I have absolutely no affiliation with: Venice.ai -
Grok AI analyzes US Property and Casualty Actuarial Salary Surveys #actuary #actuaries
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Domain Names for Sale: Actuarial Recruiter .com, Actuarial Recruiters .com, Consulting Actuaries .com, Consulting Actuary .com, Health Actuary .com, Health Actuaries .com, Life Actuaries .com, Pension Actuary .com, Insurance Startups.com, Social Inflation .com
Memorable domain names have been a solid way to compete on the web for close to 30 years. I started collecting these domain names in 1998. Whether your thing is consulting actuaries, health actuaries, life actuaries, pension actuaries, actuarial recruitment or insurance startups, there are great names to choose from. Contact me or the domain name broker on the individual pages for more information.
Domain Names for Sale:
ActuarialRecruiters.com
ConsultingActuaries.com
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50 technologies that would make hearing aids work better according to artificial intelligence
“imagine a hearing aid that uses artificial intelligence to read lips, and puts it in context of the sounds being made to give the wearer a better guess of what is being said. these are better than hearing aids that just interpret sounds.
tell me 50 different technologies that would make this work. in other words, give me 50 independent options that are unlike the other methods. number them 1 through 50. make each point be no more than 10 words. be as science fiction as you would like. the technology does not have to exist yet.”
Output:
Neural networks trained on lip reading datasets.
In-ear cameras and computer vision algorithms.
Microphones with directional audio processing.
Voice recognition algorithms for speech-to-text transcription.
Wearable EEG sensors for brainwave analysis.
Binaural audio processing for sound localization.
Natural language processing for context interpretation.
Audio-to-text machine translation for multilingual support.
Facial recognition algorithms for speaker identification.
Machine learning algorithms for adaptive noise cancellation.
Sound recognition algorithms for environmental awareness.
Real-time speech synthesis for voice feedback.
Eye-tracking technology for visual cues.
Ultrasonic sensors for distance measurements.
Haptic feedback for tactile communication.
Wearable motion sensors for gesture recognition.
Augmented reality displays for visual aids.
Wireless networking for remote communication.
Cloud computing for distributed processing.
Cybersecurity for data protection.
Mobile app integration for customization.
On-device storage for offline use.
Flexible display technology for screen size optimization.
Voice assistants for hands-free operation.
Quantum computing for faster processing.
Brain-computer interfaces for direct communication.
Augmented cognition for cognitive enhancement.
Electroencephalogram for cognitive activity monitoring.
Near-infrared spectroscopy for brain oxygenation measurement.
Transcranial magnetic stimulation for brain stimulation.
Transcranial direct current stimulation for brain modulation.
Neuroprosthetics for artificial hearing.
Cochlear implants for hearing restoration.
Adaptive feedback for personalized settings.
Machine vision for facial expression recognition.
Emotional intelligence algorithms for affective computing.
Intelligent agents for human-like interaction.
Biofeedback for stress reduction.
Wearable biosensors for physiological monitoring.
Machine learning algorithms for personalized language models.
On-chip machine learning for embedded processing.
Neuromorphic computing for energy efficiency.
Carbon nanotubes for flexible electronics.
Biocompatible materials for implantable devices.
3D printing for custom-fit devices.
Wireless charging for convenience.
Energy harvesting for sustainable power.
Secure element technology for authentication.
Quantum encryption for secure communication.
Blockchain technology for decentralized data management.
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Another NFT project produced
LilTrolls.com is live, baby.
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Can someone develop a new US Actuarial Salary Survey?
Three months ago, I asked that somebody combine the public data of the three major US actuarial salary surveys into something better.
To my knowledge, nobody has done that yet, unfortunately.
As a casualty actuary, I’m curious to see it. Actuaries and data scientists, fill in the inquiry form to the right of this post and tell me how you might approach it, how long it would take, and how much you would like me to pay you to do it.
I am only interested in an analysis of the publicly-available data, because once it’s public we can do whatever we want with it.
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Say Hello to AI-website ArtificialSong.com and Crypto NFT project TheFuckinFriends.com
The first two modest projects of 1000 Startups LLC are ArtificialSong.com and TheFuckinFriends.com .
ArtificialSong.com is a very basic WordPress site that shows what artificial intelligence can do with songwriting. But what was really interesting, and what I need to get back to, are what I learned about the WP plug-ins available out there to do complex AI tasks.
TheFuckinFriends.com is a derivative NFT collection based on the The Fuckin’ Trolls, a collection originally distributed in 2021. I’m using the Friends to test my theory that it’s more productive, with less heavy lifting, to plug into an existing NFT community, than to build your own. We are producing additional derivative NFT collections.
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LinkedIn API & ChatGPT API
