- Developers
- Learn about an agent-first automation strategy and how to leverage rapidly improving AI models for flexible business solutions.
- Business
- Explore how conversational AI agents can replace traditional workflow tools and automate tasks across thousands of business integrations.
This interview provides insight into a company building advanced AI agents, a key area for future AI development and application.
Always Bet on the Models: How Tasklet Puts the Agency in Agents, with CEO Andrew Lee
Audio streams from Erik Torenberg, Nathan Labenz. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Andrew Lee, CEO of Tasklet.ai, joins The Cognitive Revolution to discuss building an AI agent automation platform. Tasklet replaces traditional workflow tools with conversational, long-lived agents. Lee explains how betting on rapidly improving model capabilities enables flexible automation across thousands of business integrations, while addressing challenges like reliability and cost.
This episode discusses new AI tools that act like personal assistants. Instead of following strict instructions, these AI agents understand requests in plain language and handle many different tasks. This could make it easier for businesses to get complex work done without needing lots of custom programming.
This episode explores an agent-first approach to automation, contrasting it with traditional workflow tools. It's for business leaders and developers interested in how AI agents can handle complex tasks conversationally. The discussion connects to current frontier lab efforts in developing more capable and autonomous AI systems, highlighting the race for speed as a competitive advantage in the rapidly evolving AI landscape.
- HostNathan Labenz
- GuestAndrew LeeCEO, Tasklet.ai
- Guest: Andrew Lee, CEO of Shortwave and Tasklet.ai
- Show: The Cognitive Revolution
- Length: 133 minutes
- Approach: Agent-first vs. workflow-first
- Competitive Advantage: Speed is the only remaining moat
Today Andrew Lee, founder and CEO of Shortwave and Tasklet.ai, joins The Cognitive Revolution to discuss building a new AI agent automation platform that replaces traditional workflow tools with conversational, long-lived agents, exploring how betting on rapidly improving model capabilities enables more flexible automation across thousands of business integrations while navigating the challenges of reliability, cost management, and the emerging paradigm of virtual employees.
Shownotes brought to you by Notion AI Meeting Notes - try one month for free at: https://notion.com/lp/nathan
Agent-first vs. workflow-first approach: Task Lit fundamentally differs from traditional automation tools by using a single AI agent that handles all tasks through natural language, rather than building explicit workflows or state machines.
Speed is the only remaining moat: In the AI era, traditional competitive advantages are evaporating so quickly that the only sustainable advantage is moving faster than competitors.
Small business marketing as near-term target: The technology is approaching "best available human" performance for tasks like small business marketing, where hiring quality human help is difficult.
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PRODUCED BY:
- Agents
- AI Agents
- AI programs that can perform tasks and make decisions autonomously.
- State machines
- State Machines
- A way to design systems that follow specific steps or conditions.
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Questions people ask
- What is Tasklet.ai?
- Tasklet.ai is building an AI agent automation platform that replaces traditional workflow tools with conversational, long-lived agents.
- What is the main advantage of Tasklet's approach?
- Tasklet uses a single AI agent that handles all tasks through natural language, differing from tools that require building explicit workflows.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Erik Torenberg, Nathan Labenz.





