Jan 2, 2024
AI Agents in 2024
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What will the new year bring to the AI field? We asked developers and AI startup founders what they think will happen with AI products in 2024.
Big thanks for the insights go to:
Ismail Pelaseyed, founder of Superagent
Ted Spare, co-founder of Rubric Labs
Jonathan Harel, co-founder of Fine
Kaveen Kumarasinghe, student at University of Waterloo, contractor at OpenAI
Rahul Behal, co-founder of AgentHub
Max Musing, founder of Basedash
Brendon Geils, founder of Athena Intelligence
1. What do you predict for AI agents/AI products in 2024?
It's positive to see that developers perceive 2024 as the year of AI agents. See what are their predictions for the new year.
Ismail, Superagent:
We will see a lot of LLM extensions/adapters. A concept similar to database extensions. These extensions would augment the abilities of the LLM without using prompt techniques. Examples of this would be extensions for structured outputs (function calling) similar to outlines-dev or JSONformer packages on GitHub. Future examples would be adapters for memorization of new content (an alternative to RAG).
Ted, Rubric Labs:
AI agents will show results in 2024. Barriers to entry will continue to drop through low-code tools and education.
Jonathan, Fine:
Product will become the main moat for AI startups.
Kaveen, Waterloo & OpenAI:
There will be a significant focus on personalization and context-awareness, allowing AI to provide more tailored and relevant interactions within environments that we use daily. I think we’ll also see more drivable and coherent collaborative AI, where agents work in tandem with humans to accomplish tasks.
John, Taskade:
AI agents will become even more integrated into our daily workflows, especially in project management and collaborative spaces. They’ll not only automate tasks but also provide deeper insights and predictions, helping us make smarter decisions faster.
Rahul, AgentHub:
Browsing agents that interface with web browsers at a high level will be able to robustly and reliably autonomously perform at the same level as humans or better for 90% of the things we spend our time with browsers doing. Tasks like shopping on Amazon, browsing/posting to social media, reading/sending emails, etc.
Max, Basedash:
Agents will be functional with minimal prompt engineering, and remarkable with sophisticated prompt engineering.
Brendon, Athena:
My prediction for AI agents (or AI products in general) is that the way we guide Agents will not come primarily from chat inputs.
2. What was your favorite (or most used) AI product in 2023?
The last year was a boom for AI-powered tools and a lot of new startups building AI agents. See some developers' top picks of 2023.
Ismail, Superagent:
Ted, Rubric Labs:
Perplexity. Real-time search results make LLM chat much more useful since much of what I’m looking for is <2-year-old docs.
Jonathan, Fine:
Ollie.ai was pretty neat, found out a few cool things I can gift friends and myself!
Kaveen, Waterloo & OpenAI:
My most used AI product in 2023 was the OpenAI API, specifically GPT-4 and, more recently, the GPT-4 vision preview!
John, Taskade:
It’s hard to pick just one given 100% biased towards Taskade AI, but I’m particularly impressed with the advancements in AI Workflow Generators and Custom AI Agents by Taskade. These tools have significantly streamlined task management and creative processes for me.
Rahul, AgentHub:
Cursor. It just completely changed and enhanced my development workflow and experience. I had several issues with both Co-Pilot and only using ChatGPT, Cursor solves most of them. It’s not perfect, but the product is getting better every day.
Max, Basedash:
Raycast AI proved to me that speed is often more important than capabilities.
Brendon, Athena:
I’ll give this to our favorite framework, Langchain. Their team’s ability to ship days if not hours after AI news hit made it our first stop for AI integration.
To get inspired, check out the landscape of AI products and agents, sorted by their use cases.
3. What is your AI-related resolution for 2024?
Developers shared a broad spectrum of goals for the upcoming year, from building a product that complements human work to replacing one real job with AI.
Ismail, Superagent:
Keep shipping.
Ted, Rubric Labs:
To spend more time listening to worries around AI from family and friends. Disruption can be scary. If we're about to see AI generate the greatest wealth in history, I think it can only be sustained if there's widespread buy-in from regular people.
Jonathan, Fine:
I hope to reach the end of 2024 with an AI that helps me manage my own life.
Kaveen, Waterloo & OpenAI:
To stay ahead of the latest developments in generative AI. This also entails continuing to build and maintain a strong network of professionals to draw information and inspiration from.
John, Taskade:
We want to ensure that we keep building a tool that enhances human creativity and efficiency, rather than replacing it.
Rahul, AgentHub:
Strive to be more platform-agnostic, experimenting with different types of models and services including OSS. And building in a modular way so models can be swapped in and out easily.
Max, Basedash:
Render one job title obsolete with agents.
Brendon, Athena:
Talk more politely to any AI…. just in case.
What is your view on the future of AI agents? Join the discussion on our Discord server.