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    <title>TheAILAB Blog</title>
    <link>https://theailab.party/blog/</link>
    <description>Articles about automating business work, running AI on your own hardware and automating trading strategies.</description>
    <language>en-au</language>
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    <lastBuildDate>Sun, 18 Oct 2026 07:20:00 GMT</lastBuildDate>
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      <title>Build vs buy for internal tools: a practical decision framework</title>
      <link>https://theailab.party/blog/build-vs-buy-internal-tools-decision-framework/</link>
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      <pubDate>Sun, 18 Oct 2026 07:20:00 GMT</pubDate>
      <category>Custom Software</category>
      <description>A short set of questions for deciding whether to build, buy or configure an internal tool, drawn from government guidance and engineering practice.</description>
    </item>
    <item>
      <title>Data leakage through AI assistants: where your pasted text goes</title>
      <link>https://theailab.party/blog/data-leakage-through-ai-assistants/</link>
      <guid isPermaLink="true">https://theailab.party/blog/data-leakage-through-ai-assistants/</guid>
      <pubDate>Sat, 17 Oct 2026 21:20:00 GMT</pubDate>
      <category>Data Privacy &amp; Security</category>
      <description>What OpenAI, Anthropic and Google say happens to the text you paste into ChatGPT, Claude and Gemini: training, human review, retention and business plans.</description>
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    <item>
      <title>Measuring hallucinations in document Q&amp;A: methods that hold up</title>
      <link>https://theailab.party/blog/measuring-hallucinations-in-document-qa/</link>
      <guid isPermaLink="true">https://theailab.party/blog/measuring-hallucinations-in-document-qa/</guid>
      <pubDate>Sat, 17 Oct 2026 07:20:00 GMT</pubDate>
      <category>AI Automation</category>
      <description>How to measure hallucinations in a document Q&amp;A or RAG system: claim-level faithfulness, citation checks, published benchmarks and hand grading.</description>
    </item>
    <item>
      <title>Human-in-the-loop design: where approval steps belong in AI workflows</title>
      <link>https://theailab.party/blog/human-in-the-loop-approval-steps-ai-workflows/</link>
      <guid isPermaLink="true">https://theailab.party/blog/human-in-the-loop-approval-steps-ai-workflows/</guid>
      <pubDate>Fri, 16 Oct 2026 21:30:00 GMT</pubDate>
      <category>AI Automation</category>
      <description>Where to put human approval in an AI workflow, what the reviewer should see, and how to stop approvals turning into a rubber stamp.</description>
    </item>
    <item>
      <title>Local RAG: running retrieval-augmented generation on your own machines</title>
      <link>https://theailab.party/blog/local-rag-on-your-own-machines/</link>
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      <pubDate>Fri, 16 Oct 2026 07:30:00 GMT</pubDate>
      <category>Local AI</category>
      <description>How to build retrieval-augmented generation that never leaves your hardware: embeddings, storage, hybrid search, prompting and the security gaps to close.</description>
    </item>
    <item>
      <title>LLM quantisation explained: what 4-bit and 8-bit models trade away</title>
      <link>https://theailab.party/blog/llm-quantisation-4-bit-vs-8-bit-trade-offs/</link>
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      <pubDate>Thu, 15 Oct 2026 21:45:00 GMT</pubDate>
      <category>Local AI</category>
      <description>What 4-bit and 8-bit LLM quantisation costs in quality, why benchmark averages hide it, and how to test a quantised model on your own tasks.</description>
    </item>
    <item>
      <title>When not to use an LLM: tasks where plain code and rules win</title>
      <link>https://theailab.party/blog/when-not-to-use-an-llm/</link>
      <guid isPermaLink="true">https://theailab.party/blog/when-not-to-use-an-llm/</guid>
      <pubDate>Thu, 15 Oct 2026 07:26:00 GMT</pubDate>
      <category>AI Automation</category>
      <description>How to tell which steps in a workflow need a language model and which are better as plain code or rules, with a simple test and a hybrid pattern.</description>
    </item>
    <item>
      <title>Least-privilege API keys and secrets for your automations</title>
      <link>https://theailab.party/blog/least-privilege-api-keys-secrets-management-automations/</link>
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      <pubDate>Wed, 14 Oct 2026 21:20:00 GMT</pubDate>
      <category>Data Privacy &amp; Security</category>
      <description>How to scope, store, rotate and revoke the API keys your scripts, workflows and AI agents use, based on OWASP, GitHub, AWS and Google Cloud guidance.</description>
    </item>
    <item>
      <title>Position sizing basics: fixed fractional, vol targeting and Kelly</title>
      <link>https://theailab.party/blog/position-sizing-fixed-fractional-volatility-targeting-kelly/</link>
      <guid isPermaLink="true">https://theailab.party/blog/position-sizing-fixed-fractional-volatility-targeting-kelly/</guid>
      <pubDate>Wed, 14 Oct 2026 07:20:00 GMT</pubDate>
      <category>Algorithmic Trading</category>
      <description>How fixed fractional sizing, volatility targeting and the Kelly criterion decide trade size, with worked numbers and the caveats that matter in live trading.</description>
    </item>
    <item>
      <title>Open-weight model licences: what you can do commercially</title>
      <link>https://theailab.party/blog/open-weight-model-licences-commercial-use/</link>
      <guid isPermaLink="true">https://theailab.party/blog/open-weight-model-licences-commercial-use/</guid>
      <pubDate>Tue, 13 Oct 2026 21:35:00 GMT</pubDate>
      <category>Local AI</category>
      <description>What the Llama 4, Gemma, Apache 2.0 and Mistral licence texts actually allow for commercial use, fine-tuning, redistribution and naming.</description>
    </item>
    <item>
      <title>NIST&#39;s AI risk management framework, explained in plain English</title>
      <link>https://theailab.party/blog/nist-ai-risk-management-framework-plain-english/</link>
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      <pubDate>Tue, 13 Oct 2026 07:32:00 GMT</pubDate>
      <category>Data Privacy &amp; Security</category>
      <description>What the NIST AI RMF actually asks you to do, how Govern, Map, Measure and Manage fit together, and how a small team can use it without drowning in paperwork.</description>
    </item>
    <item>
      <title>Structured outputs and function calling for reliable LLM automation</title>
      <link>https://theailab.party/blog/structured-outputs-and-function-calling-for-llm-automation/</link>
      <guid isPermaLink="true">https://theailab.party/blog/structured-outputs-and-function-calling-for-llm-automation/</guid>
      <pubDate>Mon, 12 Oct 2026 21:25:00 GMT</pubDate>
      <category>AI Automation</category>
      <description>What structured outputs and function calling guarantee, where the guarantee stops, and how to design schemas and checks so an LLM can safely feed an automation.</description>
    </item>
    <item>
      <title>SQLite in production: when it&#39;s the right choice and when it isn&#39;t</title>
      <link>https://theailab.party/blog/sqlite-in-production-when-its-the-right-choice/</link>
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      <pubDate>Mon, 12 Oct 2026 07:31:00 GMT</pubDate>
      <category>Custom Software</category>
      <description>Use the SQLite docs&#39; own checklist to decide if it suits your internal tool, then set up WAL, busy timeouts, foreign keys and safe backups.</description>
    </item>
    <item>
      <title>The Australian Privacy Act and AI tools: a guide for small businesses</title>
      <link>https://theailab.party/blog/australian-privacy-act-ai-tools-small-business/</link>
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      <pubDate>Sun, 11 Oct 2026 21:20:00 GMT</pubDate>
      <category>Data Privacy &amp; Security</category>
      <description>What the OAIC expects when your business uses ChatGPT-style tools or automated decisions, and the new privacy policy rule that starts on 10 December 2026.</description>
    </item>
    <item>
      <title>How to evaluate an AI automation before you trust it</title>
      <link>https://theailab.party/blog/how-to-evaluate-an-ai-automation/</link>
      <guid isPermaLink="true">https://theailab.party/blog/how-to-evaluate-an-ai-automation/</guid>
      <pubDate>Sun, 11 Oct 2026 07:30:00 GMT</pubDate>
      <category>AI Automation</category>
      <description>Build a test set from real work, grade outputs with code and careful LLM judges, read the failures, and decide where human review stays before you go live.</description>
    </item>
    <item>
      <title>Ollama vs llama.cpp vs vLLM: which local LLM tool fits the job</title>
      <link>https://theailab.party/blog/ollama-vs-llama-cpp-vs-vllm/</link>
      <guid isPermaLink="true">https://theailab.party/blog/ollama-vs-llama-cpp-vs-vllm/</guid>
      <pubDate>Sat, 10 Oct 2026 21:25:00 GMT</pubDate>
      <category>Local AI</category>
      <description>How Ollama, llama.cpp and vLLM differ in hardware support, concurrency and setup, and how to pick one for a laptop, a team server or a busy API.</description>
    </item>
    <item>
      <title>How much VRAM do you need to run an LLM locally?</title>
      <link>https://theailab.party/blog/how-much-vram-to-run-an-llm-locally/</link>
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      <pubDate>Sat, 10 Oct 2026 18:20:00 GMT</pubDate>
      <category>Local AI</category>
      <description>Work out the GPU memory a local LLM needs from its parameter count, quantisation and context length, with worked examples from official docs.</description>
    </item>
    <item>
      <title>Why your backtest looks better than your live trading results</title>
      <link>https://theailab.party/blog/why-your-backtest-looks-better-than-live-results/</link>
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      <pubDate>Sat, 10 Oct 2026 16:00:00 GMT</pubDate>
      <category>Algorithmic Trading</category>
      <description>Overfitting, look-ahead bias, survivorship bias and missing costs explain why most backtests disappoint in live trading. Here&#39;s how to catch each one.</description>
    </item>
    <item>
      <title>Prompt injection: the security risk every AI automation must plan for</title>
      <link>https://theailab.party/blog/prompt-injection-ai-automation-security/</link>
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      <pubDate>Sat, 10 Oct 2026 12:00:00 GMT</pubDate>
      <category>Data Privacy &amp; Security</category>
      <description>Prompt injection lets text hidden in emails, documents or web pages hijack an AI assistant. What it is, why there&#39;s no full fix, and how to design around it.</description>
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