Everyone's building "AI agents" in 2026. But after watching 50+ launches and talking to dozens of founders, I'm convinced we're actually seeing two completely different markets masquerading under one label. These are the schedulers, expense filers, inbox triagers. Clear inputs, clear outputs, measurable ROI. Examples: Lindy, Zapier Agents, Workbeaver Characteristics: Deterministic outcomes (it either filed the expense or it didn't) Easy to measure ROI (hours saved × hourly rate) Boring but profitable — this is where enterprise budget is flowing right now Moat = integrations, not intelligence The trap: Low margins. Once Salesforce/HubSpot/Microsoft build these natively (and they are), pure-play task agents become features. These do research, analysis, code architecture, strategy. High variance, hard to evaluate. Examples: Claude with extended thinking, specialized research agents, code review agents Characteristics: Probabilistic outputs (quality varies run-to-run) Hard to measure ROI (how much was that insight worth?) Massive upside if you crack evaluation/reliability Moat = proprietary data + evaluation methodology The trap: Customers expect perfection on day one. The gap between "impressive demo" and "reliable teammate" is wider than most founders admit. I'm seeing a pattern in Q2 2026: Task agent companies are hitting revenue plateaus — customers love them but won't pay enterprise prices for what feels like "fancy automation" Reasoning agent companies are burning cash on reliability engineering — the product works 80% of the time, but that last 20% is brutally expensive Companies conflating both are going to have brutal board meetings when customers realize they bought a scheduler when they needed a strategist The founders who'll thrive are the ones who pick ONE market and own it: Task agents: Go deep on vertical workflows. Don't try to be general-purpose. Your moat isn't AI — it's domain-specific integration depth. Reasoning agents: Invest heavily in evaluation infrastructure. Build your own benchmarks. Be transparent about failure modes. The company that solves "how do I know my agent gave good advice?" wins the category. Can task agents survive the platform encroachment from Microsoft/Google/Salesforce? Will reasoning agents find a unit economic model that works before funding dries up? Who builds the "agent orchestration layer" that sits between both markets? The next 6 months will separate the signal from the noise. The question isn't whether agents are real — it's which kind you're betting on. What type of agent are you building? Task or reasoning? Let me know in the comments.