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The Problem: Tired of seeing profit margins eroded by manual, time consuming real estate…
Articles by Jason
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Jason Crawford shared thisYour HVAC customers call your competitors the second you miss a call, and your unsold estimates are quietly dying in someone's inbox right now. AI assistants can answer calls 24/7, book jobs instantly, and keep following up on replacement quotes until customers finally say yes or no. Curious which AI tool actually fits your business? Book an AI audit and find out.Is Your HVAC Business Losing Money Because No One Answers the Phone After 5 PM?Is Your HVAC Business Losing Money Because No One Answers the Phone After 5 PM?
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Jason Crawford shared thisEvery missed call from a homeowner with a burst pipe is a job, and thousands of dollars, walking straight to your competitor. AI receptionists now qualify plumbing emergencies, book the job, and text your on call tech before you even see the missed call notification. Curious which AI tool fits your plumbing business? Read on to find out, then book your AI audit.Is a Missed Call Costing Your Plumbing Business Its Next Big Job?Is a Missed Call Costing Your Plumbing Business Its Next Big Job?
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Jason Crawford reposted thisEvery missed call is a missed job, and while you're still up on the ladder, your competitors are already answering theirs. See how AI receptionists are helping electricians book more jobs, qualify emergencies on the spot, and stop losing leads to voicemail. Wondering which AI tool actually fits your business? Read on.Is Your Electrical Business Losing Money Every Time the Phone Rings Unanswered?Is Your Electrical Business Losing Money Every Time the Phone Rings Unanswered?
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Jason Crawford shared thisEvery missed call is a missed job, and while you're still up on the ladder, your competitors are already answering theirs. See how AI receptionists are helping electricians book more jobs, qualify emergencies on the spot, and stop losing leads to voicemail. Wondering which AI tool actually fits your business? Read on.Is Your Electrical Business Losing Money Every Time the Phone Rings Unanswered?Is Your Electrical Business Losing Money Every Time the Phone Rings Unanswered?
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Jason Crawford shared thisDrafting eviction notices and compliance letters by hand is one of the biggest time drains in property management, and one small legal error can set you back weeks in delays and lost rent. Tools like ChatGPT, AI Lawyer, and Brickwise AI are helping property managers put together jurisdiction specific notices in minutes, not hours. Read the article to see which option fits your portfolio size and how you can start using it today.Are You Still Drafting Eviction Notices and Compliance Letters by Hand?Are You Still Drafting Eviction Notices and Compliance Letters by Hand?
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Jason Crawford shared thisYour listing email subject line is either opening doors or closing them before anyone ever reads your message. Real estate professionals who use AI to write and A/B test subject lines are seeing noticeably higher open rates and more qualified leads responding to their campaigns. If you want to know exactly how to make this work for your business, this article breaks it all down step by step.Are You Leaving Open Rates on the Table? How AI Can Transform Your Real Estate Email CampaignsAre You Leaving Open Rates on the Table? How AI Can Transform Your Real Estate Email Campaigns
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Jason Crawford shared thisA missing clause in a purchase agreement can derail a closing, expose your firm to liability, and cost you a client, all because no one caught it in time. AI tools are giving title companies, escrow officers, and real estate attorneys a smarter way to review contracts before problems ever reach the closing table. Read the full article to see which tools might be the right fit for your business and how to get started.Are Missing Clauses in Purchase Agreements Quietly Derailing Your Closings?Are Missing Clauses in Purchase Agreements Quietly Derailing Your Closings?
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Jason Crawford shared thisStill spending hours building sensitivity tables and stress test narratives before every Investment Committee review? AI tools like Cactus, Shortcut, and Claude for Excel can now auto-generate those outputs in minutes, not a full day. Read the article to find out which solution fits your real estate investment operation and how to get started today.Are You Still Building Sensitivity Tables by Hand Before Every IC Review?Are You Still Building Sensitivity Tables by Hand Before Every IC Review?
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Jason Crawford shared thisAgents in competitive markets are using AI to draft smarter offer letters and escalation clauses in minutes, all backed by real comparable sales data. If you're still writing offers by hand, you're already behind. Read this to see exactly which AI tools top brokerages are using right now and how to get started today.Are You Still Writing Offer Letters by Hand While Your Competition Uses AI to Win Every Deal?Are You Still Writing Offer Letters by Hand While Your Competition Uses AI to Win Every Deal?
Jason Crawford replied to a comment
2mo
Faraz Naeem Faraz, you're 100% right that voice clarity has to come first, no tool fixes a brand that hasn't decided what it stands for.
The article was meant as an entry point for teams who already have voice nailed down but lose consistency at scale.
To your question: the breakdown point I see most often is around 2–3 content channels and one outsourced contributor. That's when 'sounds like us' starts slipping, and AI QC becomes useful as a layer on top of a documented voice guide, not a replacement for one.
Jason Crawford replied to a comment
2mo
Great point, Irwin. Operational efficiency absolutely drives the bottom line, and I'd argue brand consistency is just operational efficiency applied to communication. For most of my clients, the balance comes down to this: backend systems (like the NNN structures you mentioned) win the deal, but consistent content is what gets them to the table in the first place. We typically find AI content review pays off most for teams already doing 3+ pieces of content a week. Below that, the ROI sits squarely on the operations side.
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Jason Crawford liked thisJason Crawford liked thisThere are moments that remind you why you build a community. Today is one of them. A year ago, we hosted the very first n8n Fest. Today, more than 500 community members + the n8n team came together again at SAGE Berlin. To everyone who joined us: thank you. From across the city to across the world, you helped make today what it is, special. A LOT more photos and videos are coming! 🙂 If you are at the Fest, share yours!
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Jason Crawford liked thisJason Crawford liked thisNew on the VoiceDock blog: why you can't prompt a native-audio voice model like an LLM. Native-audio speech-to-speech models like Gemini 3.1 Flash Live fold recognition, reasoning, and speech into one model. The instincts you built on text LLMs and TTS engines quietly work against you. What the deep-dive covers: → Tone, pace, and register now live in the system instruction, not in TTS parameters. There is no separate voice layer left to tune. → On realtime native-audio, the instruction is your only lever and you get one shot. No mid-call context updates, no rewriting the prompt halfway through. → Google's own Live API prompting rules, translated for voice: persona, ordered rules, and the exact language-handling phrasing. → An honest section on what quietly fails: invisible mid-call hints, expressivity flags the preview ignores, and the wall-of-text prompt that makes the model drift. The short version: prompting a voice that talks back is a third craft. Stop treating it like the other two and your agent stops sounding almost right. Written from our own experience running native-audio agents on live phone traffic. https://lnkd.in/dGy7-zHv #VoiceDock #VoiceAI #AIAgents #ConversationalAI #BuildWithAI
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Jason Crawford liked thisJason Crawford liked thisGPT-5.6 Sol Made This Entire Video I gave it a prompt, walked away, and came back to a finished video. I didn't script, research, record, or edit. I did nothing. Sol was running on Ultra inside Codex, and it coordinated the whole production on its own. The chain it ran: 1️⃣ Researched the launch and separated the real claims from the hype 2️⃣ Wrote the script in my spoken cadence 3️⃣ Ran the audio through my authorized ElevenLabs voice 4️⃣ Built the avatar in HeyGen, and when the API wouldn't lock the newest motion engine, it opened the editor with browser automation and forced it 5️⃣ Edited everything in HyperFrames, mapping each visual to the phrase that triggered it 6️⃣ Spun up separate agents to inspect its own frames and fact-check against OpenAI's release notes Then I looked at what it cost. The main session spun up 9 other agents and burned around 450 million tokens. On Ultra, that works out to a little over $300 for one video. I don't think it needed Ultra though. On Ultra it tends to overthink and overdelegate, and that's where the tokens pile up. I'd bet High gets a similar result at half the cost, which is why I rarely push the effort above High on a model this capable. I just dropped a 5 minute video walking through exactly how it built this, top to bottom. The takeaway: give a capable model a vague prompt with delegation and verification baked in, get out of its way, and you'll be surprised how far it gets. Link to the full video is in the comments 👇
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Jason Crawford liked thisJason Crawford liked thisI've been running a workflow inside LeftClick for the last few months where AI agents work directly off my project board. I scope a task, tag it as agent-ready, and it gets picked up, executed, and flagged for my review without me sitting in a terminal all day. The system has four pieces: a shared workspace where AI and humans see the same task board, a low-friction capture method so I can fire off tasks from my phone or a hotkey, evals that force the agent to self-check before anything reaches me, and then my own QA at the end. It sounds complicated but the whole setup took maybe an afternoon. And the productivity gain has been pretty significant. I'm spending most of my time now on scoping and reviewing, which honestly is where I should've been spending it all along. I put the full workflow with prompts and setup files in Maker Zero for free: https://lnkd.in/gweQPRNZ Swipe through the carousel for the breakdown.
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Jason Crawford liked thisJason Crawford liked thisWe just hosted our first virtual event and it was a blast. 2 years ago I was fresh out of college starting my full time job. Now AI Automation Society has 420k+ global members and we are able to do amazing stuff like this! It's called AIS Live. The whole idea was to pull back the curtain on what AI solutions businesses are actually buying, and what those sales cycles look like. We had amazing speakers today: Aidan Finnegan Glenn Marcus Wyatt Lyonsmith Russ Henneberry Yash Chauhan Alex McDonnell Jannis Moore Dave Ebbelaar Jack Roberts Ednan Abdullayev N. Liberty White 🔜 Cannes Meghan Cox Kodi Zene Smith Jon Morrow Jennifer Van Wagner Kacper Rutkiewicz Sabrina Ramonov 🍄 Samin Yasar Tangy F. I can't wait for tomorrow... Huge shoutout to Anne-Marie Enns and Aidan Stanik for actually bringing this to life! Video editing creds to Aidan Stanik If you want to join for Day 2, link in the comments. We have another amazing lineup tomorrow!
Experience & Education
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Real Estate AI Solutions
View Jason’s full experience
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Licenses & Certifications
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Google Adwords Certificate
Google Ads
Issued Expires
Volunteer Experience
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Ambassador
Three Square Food Bank
- 1 year
Social Services
I gave speeches to restaurant staff informing them of our program to raise money to feed people in Las Vegas.
Projects
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Pet Doc Finder
See projectThis is a web app that allows users to find the price of services of veterinarians in around the location of their choice. The user can help others by adding the price of services.
React.js, Redux, Mongoose, Jest, TravisCI, Netlify, Mocha, Chai, JWTauth, Javascript, GoogleMaps API -
Vet Prices API
This is an API that allows developers to access the services and prices of veterinarians. ExpressJS NodeJS MongoDB Heroku JWTauth TravisCI Mongoose Morgan PassportJS Mocha Chai Faker
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WebDevQnAs
See projectThis is a web app that helps web developers study interview questions with flashcards. Users can add, edit, and delete their own questions. Javascript NodeJS MongoDB Mongoose TravisCI Heroku ExpressJS PassportJS Mocha Chai
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YT Music Timer
See projectThis is a web app that allows users to choose music to play and set a timer. The music will stop and an alarm will sound when the timer expires. The user is able to pause/restart the timer which will pause/restart the music, or they can pause/restart the music independently. Javascript jQuery HTML5 CSS3 Bootstrap KnockoutJS YouTube API Ajax
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Crawford Addiction Treatment App
See projectThis is an iOS app written using Swift3 and Xcode8 to help patients and loved ones learn about opiate addiction and Crawford Addiction Treatment’s program.
Apple App Store https://itunes.apple.com/us/app/crawford-addiction-treatment/id1198790527?mt=8
This app allows users to:
- Instantly call or text the office to make an appointment or ask questions
- Read FAQ
- Watch videos about opiate addiction treatment
- Get instant driving directions to the facility from their…This is an iOS app written using Swift3 and Xcode8 to help patients and loved ones learn about opiate addiction and Crawford Addiction Treatment’s program.
Apple App Store https://itunes.apple.com/us/app/crawford-addiction-treatment/id1198790527?mt=8
This app allows users to:
- Instantly call or text the office to make an appointment or ask questions
- Read FAQ
- Watch videos about opiate addiction treatment
- Get instant driving directions to the facility from their present location
- Connect with several helpful links
Languages
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English
Native or bilingual proficiency
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