In this Trends.vc Report, we talk about how to use AI agents to boost your productivity, delegate business tasks, automate stock trading and more.
AI agents can boost your productivity by making decisions on your behalf.
Your productivity is limited.
AI agents = Limitless productivity.
They can think, plan and do tasks on your behalf. 24/7. Without your supervision.
AI Agents
No-Code AI Agents
People Building AI Agents
- Sully Omar used AutoGPT to analyze 5 shoe competitors for market analysis.
- Alamin Hossain used Inita to build a pet groomer website that handles bookings.
- Asim Shrestha used AgentGPT to research and ideate on a new startup idea with $100 in funding.
- Kristian Fagerlie used BabyAGI to research and generate content for a one-person AI business.
- DataRobot’s Eureqa discovers new mathematical equations from raw data.
- Atomwise predicts the effectiveness of potential drug molecules, expediting medicine creation.
- Google's DeepVariant automates the analysis of genetic sequencing data, aiding in genomics research.
- Wysa is an AI therapist that provides mental health support.
- Ada Health uses AI to provide preliminary medical diagnoses.
- Harvard plans to use an AI chatbot as its new computer science instructor.
- An AI chatbot outperformed doctors in answering patient questions with empathy and accuracy.
- Garret Scott got an AI agent to complete his to-do list.
- Div Garg got an AI agent to book a flight in a web browser.
- Matt Shumer got an AI agent to order pizza from Domino’s website.
- Ammaar Reshi got an AI agent to buy groceries based on a $100 budget and his preferences.
- Fireship used an AI agent to make videos in his style.
- Justin Lalonde used an AI agent to automate Facebook Ads.
- Pietro Schirano made DesignerGPT that designs a website based on a prompt.
- Kristian Fagerlie used AI agents to research and come up with YouTube video ideas.
- Patrick Foster made an AI agent that automatically writes blog posts for affiliate links.
- James Baker used an AI agent to read about recent news and prepare a podcast outline.
- Siraj Raval built an AI trading bot with ChatGPT. It made $60 in 24 hours with 4 trades.
- TradingLab gave an AI bot $30,000 to trade stocks. It made $3,736 in a month with 47 trades.
- Brian Schardt gave an AI day trader $50,000 to see if ChatGPT can make better returns than hedge funds.
“Mass adoption of AI agents will pressure workers to be more productive. We’ll have a worse work-life balance.”
Becoming more productive with AI does not necessarily lead to a worse work-life balance. Using AI agents will help you accomplish more work in less time. Using them to automate errands can free up time for things and people you love.
“AI should not be regulated because it will stifle innovation.”
Regulation is needed to prevent catastrophic harm. For example, non-scientist students were able to have AI chatbots generate potential pathogens to cause a pandemic in 1 hour.
“With the rise of open-source models, regulation will be hard to enforce.”
Open source is an unstoppable movement. Regulation will likely be hard to enforce, but we should strive with the best effort. It’s up to us to raise our concerns and support regulations to prevent misuse.
“People shouldn’t be fully liable for the actions of AI agents.”
If you delegate an AI agent to represent you and do things on your behalf, then you are liable for the actions of that agent. Respondeat superior.
“Most alpha will fade when the majority of investors rely on AI agents to trade.”
Investors will gain a temporary edge by getting access to non-public data and using AI agents to interpret and act on it. But all arbitrages eventually fade.
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Pretty cool, thanks for collecting these neat examples!
I have to say that I think that in a similar way to most GenAI products, the agents / products that will stick with us are the ones that will change our workflows…
For example, an agent that introduces a significant change (like “you don’t need to read 15 articles anymore here’s the summary”) will probably stick. On the other hand, I wouldn’t switch to a “flight booking agent”, even if it’s as good as a human, because I will lose some control over the process.
IMO where we will see the change first will be in the world of devs, as they are best equipped to create smarter and smarter agents, and they will probably start with solving their own problems.
Full disclosure - I work at Fine where we develop an AI toolkit for software development that includes agents