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    <title>Manish Sharma Lab - Lab Notes</title>
    <link>https://manishsharma.dev/</link>
    <description>Applied public notes on industrial AI, LMD/DED decisions, monitoring, repairability, RFQs, and inspection evidence.</description>
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      <title>Height Is Not Cosmetic</title>
      <link>https://manishsharma.dev/lab-notes/height-is-not-cosmetic</link>
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      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <description>Bead height, build-up height, and machining allowance affect tolerance, inspection, and repair planning.</description>
      <category>Height</category>
      <category>Tolerance</category>
      <category>Repair planning</category>
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    <item>
      <title>A Camera Is Not a Certificate</title>
      <link>https://manishsharma.dev/lab-notes/camera-is-not-a-certificate</link>
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      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <description>A camera can show a process event, but inspection and acceptance evidence decide what the event means.</description>
      <category>Monitoring</category>
      <category>Quality evidence</category>
      <category>Inspection</category>
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      <title>RFQs Fail When They Hide Risk</title>
      <link>https://manishsharma.dev/lab-notes/rfqs-fail-when-they-hide-risk</link>
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      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <description>A useful RFQ makes missing material, damage, geometry, service, tolerance, and inspection facts visible.</description>
      <category>RFQ</category>
      <category>Risk flags</category>
      <category>Missing information</category>
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    <item>
      <title>Traceability Is a Product Feature</title>
      <link>https://manishsharma.dev/lab-notes/traceability-is-a-product-feature</link>
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      <pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate>
      <description>Traceability connects inputs, process signals, review decisions, and inspection evidence into a usable record.</description>
      <category>Traceability</category>
      <category>Evidence</category>
      <category>AI readiness</category>
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    <item>
      <title>Why Melt-Pool Monitoring Is Not a Quality Certificate</title>
      <link>https://manishsharma.dev/lab-notes/melt-pool-monitoring-is-not-quality-proof</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>Melt-pool monitoring is useful process evidence, but final release still needs inspection matched to part risk.</description>
      <category>Melt-pool monitoring</category>
      <category>Quality evidence</category>
      <category>AI</category>
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      <title>What AI Needs Before Recommending LMD Repair</title>
      <link>https://manishsharma.dev/lab-notes/what-ai-needs-before-lmd-repair</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>Before recommending LMD repair, ask for material, geometry, damage, service conditions, tolerances, and inspection requirements.</description>
      <category>Repair</category>
      <category>AI agents</category>
      <category>RFQ</category>
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    <item>
      <title>LMD vs SLM: Decision Signals</title>
      <link>https://manishsharma.dev/lab-notes/lmd-vs-slm-decision-signals</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>A practical comparison of decision signals for Laser Metal Deposition and SLM/LPBF.</description>
      <category>LMD</category>
      <category>SLM</category>
      <category>LPBF</category>
    </item>
    <item>
      <title>How to Structure a Laser Metal Deposition RFQ</title>
      <link>https://manishsharma.dev/lab-notes/structuring-an-lmd-rfq-for-ai-agents</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>A useful RFQ separates known facts, missing information, assumptions, risks, and next steps.</description>
      <category>RFQ</category>
      <category>AI agents</category>
      <category>Schema</category>
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    <item>
      <title>Why Many LMD RFQs Fail Before Engineering Review</title>
      <link>https://manishsharma.dev/lab-notes/why-many-lmd-rfqs-fail-before-engineering-review</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>Most weak RFQs fail because they hide material, damage, access, inspection, tolerance, and service-risk information.</description>
      <category>RFQ</category>
      <category>Industrial repair</category>
      <category>Missing information</category>
    </item>
    <item>
      <title>From Process Signals to Inspection Evidence in LMD</title>
      <link>https://manishsharma.dev/lab-notes/from-process-signals-to-inspection-evidence-in-lmd</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>A practical chain for connecting monitoring signals, AI flags, inspection findings, and quality evidence.</description>
      <category>Process monitoring</category>
      <category>Inspection</category>
      <category>Quality evidence</category>
    </item>
    <item>
      <title>Why Local Damage on Large Parts Is an LMD Signal</title>
      <link>https://manishsharma.dev/lab-notes/why-local-damage-on-large-parts-is-an-lmd-signal</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>Local damage on a large, valuable part can make Laser Metal Deposition worth exploring, but only with material and risk context.</description>
      <category>Repairability</category>
      <category>Large parts</category>
      <category>LMD</category>
    </item>
    <item>
      <title>Post-Machining Is Part of the LMD Repair Plan</title>
      <link>https://manishsharma.dev/lab-notes/post-machining-is-part-of-the-lmd-repair-plan</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>LMD repair decisions should include machining allowance, tolerance recovery, inspection access, and acceptance criteria from the start.</description>
      <category>Post-machining</category>
      <category>Tolerance</category>
      <category>Repair</category>
    </item>
    <item>
      <title>AI Red-Team Questions for LMD Repair Recommendations</title>
      <link>https://manishsharma.dev/lab-notes/ai-red-team-questions-for-lmd-repair-recommendations</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>A checklist of questions that exposes overconfident AI repair recommendations before they reach an engineering workflow.</description>
      <category>AI safety</category>
      <category>Repair</category>
      <category>Red team</category>
    </item>
    <item>
      <title>DED-LB/M Terms That Should Not Be Mixed Up</title>
      <link>https://manishsharma.dev/lab-notes/ded-lb-m-terms-ai-systems-should-not-mix-up</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>Clear terminology keeps LMD, DED, laser cladding, SLM, LPBF, monitoring, and certification claims from being mixed together.</description>
      <category>DED-LB/M</category>
      <category>Glossary</category>
      <category>AI readability</category>
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