AI AgentsApr 28, 2026
A founder's CTO came back from a vendor pitch convinced agentic RAG was the next quarter's roadmap. Eighteen tools, multi-step reasoning, autonomous decisions. The bill the vendor implied was 5x their current model spend, the latency target was a real-time chat product, and nobody had asked what fraction of their queries actually needed an agent.
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AI AgentsApr 25, 2026
A founder messaged us at 11pm on a Friday: the AI agent his team had launched on Monday was down. Customers were complaining, the team was panicking, the on-call engineer had no idea where to start. Here is the forensics order Sapota walks through when an agent fails in production, and the four most common culprits.
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AI AgentsApr 21, 2026
A founder's chat product had a problem: users were abandoning the conversation before the AI agent finished responding. The p95 latency was 31 seconds. The team's instinct was to switch to a smaller model. The actual fix was four changes that did not touch the model at all. Here is the latency stack most teams overlook.
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AI AgentsApr 16, 2026
A founder texted us six weeks after launching their agent: 'Something is wrong. Cost has tripled, response times are bad, but I don't know which agent is the problem.' The system had no observability. Six weeks of production traffic with no traces. Here is the minimum stack Sapota installs before any agent goes live.
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AI AgentsApr 09, 2026
A B2B SaaS team got an angry email from a customer: the AI assistant had told them their subscription included a feature that did not exist. The agent had searched the docs, found nothing, and made up a plausible answer. The fix is not 'a better model'. It is a layer that should have been there from day one.
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AI AgentsApr 02, 2026
An engineering team had been debugging the same agent for three weeks. It would search, then search again, then search a third time, then output a half-finished answer at the iteration limit. The model was fine. The pattern was wrong. Here is the difference between ReAct and Planning, and when to switch.
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AI AgentsMar 19, 2026
A founder forwarded a vendor invoice that was 6.4x his projection. The system was a 'multi-agent crew of specialists' that the vendor pitched as the next-generation upgrade from his single-agent chatbot. The accuracy lift was 4 percentage points. Here is how Sapota decides when multi-agent is worth its real cost.
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AI AgentsMar 12, 2026
A founder asked us why his AI assistant kept forgetting the user's name between messages. The team had followed a tutorial that called the API in a loop. Nobody had told them that LLMs are stateless and that 'memory' is something the system has to engineer outside the model. Here is the layer most teams discover the hard way.
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AI AgentsMar 04, 2026
A founder's CTO came back from a vendor pitch convinced the company needed eighteen agents and a six-month rebuild. The current product was a chatbot that answered FAQs. The actual fix was a single sentence in the prompt. Here is how Sapota decides when an agent is the right answer and when it is over-engineering.
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