Speed up multifamily deal research and property summaries
A multifamily broker uses AI for market research, comps analysis, property summaries and chasing property details, but not for negotiation or relationships.
Original post ↗Real workflows with the tools, steps and prompts to copy them. Filter by what you use and how much time you have.
A multifamily broker uses AI for market research, comps analysis, property summaries and chasing property details, but not for negotiation or relationships.
Original post ↗The poster used ChatGPT to draft an appeal of a street-sweeping parking ticket, and the ticket was dismissed.
Original post ↗A commenter says AI tools handle most tenant questions, prospect inquiries and document preparation, handing harder cases to a human.
Original post ↗Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.
An enterprise client uses Lindy agents to scrape customers, monitor social and G2, draft milestone posts, build content calendars and publish.
Original post ↗A solo founder delivers Lindy-based chat support, inbound/outbound calling, content repurposing and negotiation agents to small-team clients.
Original post ↗A sales team launched a Lindy agent that summarizes demo calls for HubSpot, drafts follow-ups, schedules calls and recommends proposals, saving 5+ hours a week.
Original post ↗A Lindy agent built for a side project researched a prospective resort, found a PR risk and avoided pitching it.
Original post ↗A weekly Codex automation searches arXiv for keywords, logs new papers to a CSV, sorts them into keep/skim/drop buckets and can check claims against Zotero.
Original post ↗The author leaves Codex CLI running for hours to add debug prints and test hypotheses against a reproducing unit test, often only to find the bug.
Original post ↗Codex reads a folder of PDFs to find articles that disagree with an argument, screens about fifty papers for a systematic review, and cleans messy CSV or Excel files.
Original post ↗Codex edited files and ran builds to repair CertiGC proofs; it handled local repair well, but humans had to check that its invariants preserved the specification.
Original post ↗Codex made a racing game with multiple racers, eight maps and items from one prompt, acting as designer, developer and QA tester by playing it.
Original post ↗A Travel Weekly reporter had Comet book a chosen Southwest flight on a logged-in account, selecting the fare and entering personal details.
Original post ↗A writer used Comet to browse Michelin restaurants for Copenhagen, check Japan hotel availability, and look for deals.
Original post ↗A reporter asked Comet to find cheap parking near SFO and book it; it entered the wrong dates twice and still pushed checkout.
Original post ↗A reviewer had Comet fill out booking forms and a questionnaire across several sites, pausing only to confirm completion.
Original post ↗The author gave Comet and ChatGPT Atlas the same flight-booking task; Comet mostly pointed to aggregators instead of specific flights.
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