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    <title>GlyIQ Infrastructure Research &amp; Engineering Dispatches</title>
    <link>https://glyiq.com</link>
    <description>Cognitive reverse proxies, semantic vector memory, complexity routing, and inference economics from GlyIQ Infrastructure.</description>
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    <lastBuildDate>Sat, 10 Oct 2026 12:00:00 GMT</lastBuildDate>
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      <title><![CDATA[[Research] Controlling LLM API Cost: A Practical FinOps Guide]]></title>
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      <description><![CDATA[A practical engineering guide for LLM API cost control, token accounting, model selection, prompt size, retries, caching, and bounded agent limits.]]></description>
      <category>Research</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Research] Caching for LLM Applications: Response Reuse and Prompt Prefixes]]></title>
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      <description><![CDATA[Three distinct caching mechanisms for LLMs: exact-response caches, semantic cache risks, provider prompt prefix reuse, and cost models.]]></description>
      <category>Research</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Research] Retrieval-Augmented Generation and Long-Context Input]]></title>
      <link>https://glyiq.com/research/rag-vs-long-context</link>
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      <description><![CDATA[A decision guide for choosing what evidence to send to a model: retrieval pipelines, context budgets, latency, and cost modeling.]]></description>
      <category>Research</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Research] Multi-Agent Workflows: Coordination Cost and Control]]></title>
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      <description><![CDATA[Explore multi-agent workflow failure modes, history-growth models, coordination token overhead, and bounded control architectures.]]></description>
      <category>Research</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Research] Small Models, Fine-Tuning, and Serving Economics]]></title>
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      <description><![CDATA[Evaluate smaller open-weight models, quantization, LoRA fine-tuning, knowledge distillation, and break-even self-hosting economics.]]></description>
      <category>Research</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Research] Preventing Unbounded LLM Consumption]]></title>
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      <description><![CDATA[Mitigate OWASP LLM10 Unbounded Consumption risks with layered controls across edge, orchestration, quotas, and real-time proxy budgets.]]></description>
      <category>Research</category>
      <dc:creator>Irfan</dc:creator>
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      <title><![CDATA[[Research] Constrained Decoding and Structured Model Output]]></title>
      <link>https://glyiq.com/research/constrained-decoding-structured-output</link>
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      <description><![CDATA[Understand schema-constrained output, JSON mode, reliability boundaries, retry economics, and validation stages for production LLMs.]]></description>
      <category>Research</category>
      <dc:creator>Irfan</dc:creator>
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    <item>
      <title><![CDATA[[Blog] The Silent AI Budget Crisis: Why Enterprise Generative AI Fails at the Inference Layer (And How to Fix It)]]></title>
      <link>https://glyiq.com/blog/silent-ai-budget-crisis</link>
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      <description><![CDATA[Understand the main drivers of LLM inference cost and how to measure model, prompt, caching, and retry changes against quality and latency.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Blog] Reduce LLM API Costs: Where the Tokens Actually Go & The Systems Anatomy of Inference FinOps]]></title>
      <link>https://glyiq.com/blog/where-the-tokens-actually-go</link>
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      <description><![CDATA[Measure LLM API cost drivers including token usage, retries, context growth, caching, latency, and quality in production.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Blog] Context Stuffing vs. RAG: Costs, Retrieval, and Evaluation]]></title>
      <link>https://glyiq.com/blog/memory-bus-trap</link>
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      <description><![CDATA[Compare long-context prompting with RAG using token cost, retrieval quality, latency, and task-specific evaluation.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Irfan</dc:creator>
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      <title><![CDATA[[Blog] Prompt Caching Architecture: How Prefix Reuse Can Reduce LLM API Input Costs]]></title>
      <link>https://glyiq.com/blog/micro-billing-forward-pass</link>
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      <description><![CDATA[Learn how provider prompt caching reuses eligible prefixes and how to measure cache hits and realized savings.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Blog] Why Multi-Agent Systems Fail in Production: Infinite Loops, Token Explosions, and The Evaluator-Optimizer Alternative]]></title>
      <link>https://glyiq.com/blog/infinite-handshake-agents</link>
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      <description><![CDATA[Explore why multi-agent workflows can loop or repeat context and when bounded workflows may reduce complexity and cost.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Irfan</dc:creator>
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      <title><![CDATA[[Blog] Self-Hosting an 8B Model vs. Hosted LLM APIs: A Break-Even Framework]]></title>
      <link>https://glyiq.com/blog/sovereign-compute-slm</link>
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      <description><![CDATA[Estimate when self-hosting a small language model may beat a hosted API by comparing total cost, utilization, latency, and quality.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Rehan</dc:creator>
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      <title><![CDATA[[Blog] Denial of Wallet in LLM Applications: Defend Against Unbounded Consumption (OWASP LLM10:2025)]]></title>
      <link>https://glyiq.com/blog/denial-of-wallet</link>
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      <description><![CDATA[Understand LLM unbounded-consumption risks and controls for request size, output length, concurrency, budgets, and retries.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Irfan</dc:creator>
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      <title><![CDATA[[Blog] Structured Outputs & Constrained Decoding: How to Eliminate LLM JSON Parsing Retries and Output Bloat]]></title>
      <link>https://glyiq.com/blog/deterministic-boundary</link>
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      <description><![CDATA[Learn how structured outputs and constrained decoding improve format reliability while semantic validation remains necessary.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Irfan</dc:creator>
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      <title><![CDATA[[Blog] AI Agent Security & Tool Egress: Preventing Credential Leaks and Policy Bypasses in Shell and MCP Environments]]></title>
      <link>https://glyiq.com/blog/ambient-cloud-identity</link>
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      <description><![CDATA[Review agent security risks involving shell access, credentials, prompt injection, MCP tools, and network egress controls.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Irfan</dc:creator>
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      <title><![CDATA[[Blog] LLM Observability at the Proxy Layer: Catching Runaway Token Spikes Before Provider Dashboard Lag]]></title>
      <link>https://glyiq.com/blog/telemetry-at-the-proxy</link>
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      <description><![CDATA[Design LLM gateway telemetry that estimates cost before dispatch, reconciles provider usage, and applies budgets and cancellation controls.]]></description>
      <category>Engineering Blog</category>
      <dc:creator>Rehan</dc:creator>
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