Blogs on 'mix category' category
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What Should My App Do When a User Disconnects During an LLM Response?
When a user leaves during a streamed LLM response, should your app cancel the model request or keep it running? Explore disconnect handling, partial answers, and provider-side cancellation.
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How Should I Manage Long Conversation Histories When an LLM API Has a Context Limit?
How should an AI chat app handle a conversation that grows beyond an LLM’s context limit? This question explores summaries, recent turns, retrieval, and model-specific token budgets.
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How Can I Tell Whether a Prompt Change Actually Improves AI Answers?
When a prompt edit improves a few examples but may weaken others, how can you evaluate the change fairly? This question explores test sets, scoring methods, model differences, and human review.
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How Do I Prevent AI-Generated HTML from Creating an XSS Vulnerability?
When an AI feature displays Markdown or HTML-like model responses, what prevents that content from becoming an XSS risk? This question explores safe rendering choices, sanitization, and link handling.
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How Do I Verify Citations in AI Answers Before Showing Them to Users?
How can an LLM integration tell whether citations support an answer? Explore source provenance, claim checks, freshness, and handling unverifiable evidence.
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How Can I Use Customer Records in an LLM Prompt Without Exposing Sensitive Data?
How much customer information should an LLM receive? Explore prompt privacy, redaction limits, tool access, provider retention, and logging in API integrations.
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How Do I Prevent an LLM Tool Call from Charging a Customer Twice?
What happens when an AI payment tool times out and retries? Explore duplicate charges, operation identity, approval, and uncertain payment outcomes in LLM integrations.
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Can I Send the Same Prompt to Two LLM Providers and Use the First Response?
Would sending one prompt to two AI providers improve response time, or introduce hidden costs and reliability risks? Explore hedged requests, cancellation, streaming, tools, and data handling.
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What’s the Right Way to Handle Rate Limits in a Multi-Provider LLM Integration?
When an application calls several LLM APIs, how should it respond to 429 errors without creating retry storms or unnecessary delays? Explore rate limits, queues, retries, and provider fallback.
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Why Do Two LLM APIs Give Different Answers to the Same Prompt at Temperature Zero?
Why can OpenAI, Claude, Grok, Perplexity, or DeepSeek return different answers to the same prompt at temperature zero? Explore model versions, request formatting, and generation settings.
