{
  "id": 10710728,
  "title": "How to Find Past Maintenance Notes With Local AI in 2026",
  "url": "https://urgent.news/2026/09/29/how-to-find-past-maintenance-notes-with-local-ai-in-2026",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-29T14:35:20.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/alichherawalla/how-to-find-past-maintenance-notes-with-local-ai-in-2026-154n"
  },
  "original_language": "en",
  "account": "Maintenance notes can provide useful historical information about equipment issues months after they were recorded. OGAD (Off Grid AI Desktop) software allows you to search your saved notes on a local computer, without uploading them to a cloud AI service. Organize the notes by asset to ensure the search results lead back to the correct visit record.\n\nWhen using OGAD, it's important to collect and organize the notes with proper identifiers, such as the customer's site, equipment model, serial number, or internal asset number. This helps distinguish between similar equipment and establishes the sequence of events. Only use readable PDF, DOCX, TXT, or Markdown files for this text-search workflow. Handwritten scans and image-only PDFs should be converted to text format beforehand.\n\nTo set up OGAD for local AI search, install the software and download a local text model suitable for your computer. Create a new project in OGAD specific to the site or asset group you are working with. Import the collected notes into the project and enable the knowledge base. Disable the option for including captured memory during the search to ensure a source-only review.\n\nWhen asking the AI model for information, be specific in your queries. For example, ask: Find notes about asset A-17 mentioning the intermittent alert during July and August. The model should provide the visit date, observation, action taken, unresolved issues, and the source file for each relevant record. Avoid inferring that a planned or ordered action was completed.\n\nAfter reviewing the AI's findings, create a checked timeline of the events. Separate different types of information, such as \"reported,\" \"observed,\" \"planned,\" and \"completed,\" to avoid confusion. If there are discrepancies between notes, present both statements along with their sources. Do not make assumptions about what is correct without evidence.\n\nWhen reviewing the timeline, separate customer reports from technician observations. Customer statements about equipment issues are reports, while technician recordings of visible alerts are observations. Both types of information are valuable, but they are different forms of evidence. Ask for these categories explicitly when preparing your review notes.\n\nFinally, use the checked timeline to identify any gaps or unanswered questions before planning the next work. Focus on missing completion records, unclear asset identity, and unresolved follow-up questions. This information can help you determine what needs to be confirmed before moving forward with any planned maintenance or repairs. Remember, this workflow creates a working summary and should not automatically update your maintenance platform or close work orders. Handle incomplete or noisy records by double-checking the project, enabled sources, asset identifiers, and text quality. If the AI returns little evidence, ask about alternate terms to ensure you are searching for the correct information.",
  "summary": "A maintenance note can answer a useful question months later: what was observed, what was tried, and what still needed attention? OGAD (Off Grid AI Desktop) can help search your saved notes on a computer without uploading them to a cloud AI service. Use a local model and organise the sources by asset so the answer leads back to the right visit record. Download OGAD | Desktop releases What would…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}