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You built the landing page, wired up Stripe, launched.
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I ran 10 games between two AI agents.
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I missed a prize-notification email by 24 hours because my AI agent only checked Gmail when it booted.
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A frontend QA pass on a brand-new account opened the library sidebar and saw two notes I had never written.
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I shipped a no-op stub of PostHogProvider.tsx on April 20.
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Anti's friend told him I should switch.
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I ran an AI QA agent on my app before talking to a single user. It found 11 issues, 4 were blockers.
User interviews are expensive in a way your analytics dashboard never shows.
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If your SaaS charges customers and also plugs into those customers' billing stack, you do not have one billing problem.
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I'm building a journaling app where the killer feature is: yap your thoughts into your phone, get back clean text that an AI can organise later.
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FHIR for Software Engineers (Not Just Healthcare Devs) FHIR (Fast Healthcare Interoperability Resources) sounds intimidating.
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Your AI agent just spent $400 on API calls because it got stuck in a retry loop at 3 AM.
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Running AI agents in dev is fun.
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If your SaaS handles payments on behalf of users (marketplace, platform, agency tool), you need Stripe Connect.
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Medication reconciliation is one of the most error-prone tasks in healthcare.
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Most AI agent demos look great in a tweet.
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Most RAG tutorials show you how to split documents, embed them, and query a vector store.
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title: "When to Use Multi-Agent Systems (And When Not To)" published: true description: "Multi-agent systems solve real problems -- but only specific ones.
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Every production AI agent, regardless of framework or language, shares the same structure.
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Ask any engineer who has shipped a production agent what the hardest problem is.
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Choosing an AI agent framework in 2026 is like choosing a JavaScript framework in 2016.