<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Reliable AI — Abd Bastola</title><description>Notes on building production-ready AI agents, RAG systems, evaluation and enterprise AI delivery.</description><link>https://adonishhh772.github.io/</link><language>en-gb</language><item><title>Cybersecurity for AI systems: how architects should think about the new attack surface</title><link>https://adonishhh772.github.io/writing/cybersecurity-for-ai-systems/</link><guid isPermaLink="true">https://adonishhh772.github.io/writing/cybersecurity-for-ai-systems/</guid><description>Prompt injection, data leakage, tool abuse, model supply chains and token-burning denial of service. A practical mental model for thinking about AI security the way you already think about the rest of your architecture.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate><category>cybersecurity</category><category>architecture</category><category>agents</category><category>rag</category><category>security</category></item><item><title>GPT-6 Astra: what the hype hides about real-time agentic models</title><link>https://adonishhh772.github.io/writing/gpt-6-astra-agentic-models/</link><guid isPermaLink="true">https://adonishhh772.github.io/writing/gpt-6-astra-agentic-models/</guid><description>OpenAI&apos;s Astra launch is being framed as the start of something huge. A practical read on what the coverage actually signals about real-time multimodal and agentic models — transparency, control, safety, evaluation, cost and governance.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate><category>frontier-models</category><category>agents</category><category>multimodal</category><category>evaluation</category><category>governance</category></item><item><title>Cascaded voice AI, ElevenLabs, or direct providers: what latency really costs in the enterprise</title><link>https://adonishhh772.github.io/writing/voice-ai-cascade-elevenlabs-direct/</link><guid isPermaLink="true">https://adonishhh772.github.io/writing/voice-ai-cascade-elevenlabs-direct/</guid><description>Voice agents are suddenly ready for the enterprise — which means teams are choosing between cascaded pipelines, all-in-one platforms and direct provider stacks. A practical look at the latency trade-offs, the compliance realities and the business impact that should drive the decision.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate><category>voice-ai</category><category>architecture</category><category>latency</category><category>enterprise delivery</category><category>evaluation</category></item><item><title>The AI architecture conversation teams should have before choosing a model</title><link>https://adonishhh772.github.io/writing/the-model-choice-conversation/</link><guid isPermaLink="true">https://adonishhh772.github.io/writing/the-model-choice-conversation/</guid><description>Business problem definition, data readiness, risk classification, model selection, MVP scope and measurable success criteria — the six questions that prevent model-first projects from becoming expensive regrets.</description><pubDate>Fri, 28 Aug 2026 00:00:00 GMT</pubDate><category>architecture</category><category>model selection</category><category>strategy</category><category>evaluation</category></item><item><title>RAG is not the hard part: making enterprise knowledge trustworthy</title><link>https://adonishhh772.github.io/writing/enterprise-knowledge-trustworthy/</link><guid isPermaLink="true">https://adonishhh772.github.io/writing/enterprise-knowledge-trustworthy/</guid><description>Document quality, chunking, metadata, retrieval evaluation, citations, access control and freshness — the unglamorous work that decides whether a RAG system actually helps people or quietly misleads them.</description><pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate><category>rag</category><category>evaluation</category><category>retrieval</category><category>governance</category><category>security</category></item><item><title>From demo to dependable: what production AI agents actually need</title><link>https://adonishhh772.github.io/writing/from-demo-to-dependable/</link><guid isPermaLink="true">https://adonishhh772.github.io/writing/from-demo-to-dependable/</guid><description>Evaluation, tool permissions, observability, failure handling, human approval and cost — the boring, unglamorous work that turns a promising agent demo into a system you can trust in production.</description><pubDate>Fri, 14 Aug 2026 00:00:00 GMT</pubDate><category>agents</category><category>evaluation</category><category>observability</category><category>governance</category><category>cost</category></item></channel></rss>