Saturday, February 21, 2026
Make Something Agents Want: The Shift to Agent-Driven GTM and Swarm Intelligence
The Big Picture
- Cyber Psychosis as a productivity signal — Gary Tan describes a state of total automation where founders run multiple simultaneous AI workers via tools like Claude Code to manage entire business segments.
- Documentation is the new GTM front door — Harj Taggar argues that developer tools now win or lose based on how easily their documentation can be parsed and implemented by autonomous agents rather than human developers.
The Deeper Picture
The software economy is undergoing a fundamental shift from human-centric consumption to an agent-driven ecosystem. As explored in The AI Agent Economy Is Here, the traditional Go-To-Market (GTM) strategy is being rewritten. Instead of optimizing for SEO or human social proof on platforms like StackOverflow, companies must now focus on being the 'default stack' recommended by AI coding assistants. This has led to the emergence of the Make Something Agents Want framework, where the primary user of a technical product is an LLM, not a person. Success stories like Resend and Supabase demonstrate that high-quality, machine-readable documentation is the most effective sales tool in this new paradigm.
Beyond GTM, the structural nature of AI is moving from God Intelligence—the pursuit of a single, massive foundation model—to Swarm Intelligence. This perspective suggests that AGI will manifest as a decentralized network of smaller, specialized agents collaborating to solve complex problems. This shift prioritizes coordination and speed over raw parameter count. High-speed inference engines like Groq, which offer 200x performance gains over legacy APIs, are becoming the essential infrastructure for these agent swarms, as latency is the primary bottleneck for autonomous multi-step workflows.
However, this transition faces a significant hurdle known as the Liability Sink. Currently, agents lack legal standing, functioning similarly to minors in a legal sense. They cannot sign contracts or take ultimate responsibility for their actions, requiring a human 'handler' to remain in the loop for high-stakes transactions. To bridge this gap, new infrastructure like Agent Mail and identity verification for AI is emerging, aiming to create a parallel economy where agents can transact and communicate with minimal human oversight, potentially leading to a more efficient, albeit agent-dominated, internet.
Video Breakdowns
1 video analyzed
The AI Agent Economy Is Here
Y Combinator · Gary Tan, Harj Taggar, Paul Buchheit, Tom Brown · 23 min
Watch on YouTube →The AI economy is shifting toward a model where agents are the primary decision-makers and purchasers of software. Companies must optimize their documentation and APIs for machine parsability to capture growth in an environment dominated by 'Swarm Intelligence' rather than single massive models.
Logical Flow
- Cyber Psychosis: The founder as orchestrator
- GTM Pivot: Make Something Agents Want
- Swarm vs. God Intelligence
- Infrastructure: Agent Mail and LLMS.txt
- The Liability Sink bottleneck
Key Quotes
"I hadn't written code in 10 years, and then now I'm up till 2 3:00 a.m. every single night running four conductor simultaneous workers with cloud code."
"The market of developers has increased from just 20 million or so developers that are trained in computer science to now anyone in the world could be one plus all of their agents."
"Agents are the software market from now on. Build something agents choose."
Key Statistics
200x speed increase of Groq over Whisper V1
Contrarian Corner
From: The AI Agent Economy Is Here
The Insight
The 'Dead Internet Theory' is a positive development if agents are aligned.
Why Counterintuitive
Common wisdom suggests an internet filled with bot-generated content is a low-quality 'slop' wasteland.
So What
Builders should stop designing for the human eye and start building for the 'LLM eye,' ensuring every technical asset is machine-readable to thrive in an agent-dominated web.
Action Items
Implement an llms.txt file for your product documentation.
Agents need structured, easily parsable summaries to understand and implement your tool without human intervention.
First step: Create a markdown file at /llms.txt that provides a concise, high-density overview of your API and core functionality.
Audit your GTM strategy for 'Agent-Friendliness'.
Agents are becoming the primary 'buyers' of DevTools; if they can't find your docs via Perplexity or ChatGPT, you lose the sale.
First step: Ask Claude or ChatGPT to 'Write a script using [Your Product] based only on public docs' and see where it fails or hallucinates.
Switch to high-speed inference for agentic workflows.
Latency is the killer of agent swarms. Groq-level speeds are required for real-time autonomous coordination.
First step: Benchmark your current LLM provider's tokens-per-second against Groq for your most common agent tasks.
Final Thought
The transition to an agent-first economy is not a distant future but a current shift in how the most productive founders operate. By moving from 'God Intelligence' to 'Swarm Intelligence' and optimizing every technical asset for machine consumption, companies can position themselves as the default infrastructure for the next generation of autonomous economic actors.