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24 contributions to Construction Contractors Hub
Whats your Tech Stack?
Curious what everyone’s running. Here’s mine: • JobTread — PM, estimating, budgets, and the file system: plans, drawings, receipts, job docs all live here • QuickBooks — accounting • Notion — business brain / SOPs + cost history • Airtable — Contractor OS data layer • Claude / ChatGPT — the glue. Skills + MCP connectors so I’m not re-entering the same data three times Google Drive is still in there, but honestly it’s redundant — it only exists as a staging spot until I get receipt capture running properly through the agents. Once that’s clean it comes out. What are you running — and what’s sitting in your stack that you know you don’t actually need?
0 likes • Aug 16
@James Gill I’ve given it a little thought, honestly it’s probably quite doable, but a little advanced for me. At about $3000/year, for what its capabilities are, I’m pretty happyv
0 likes • 7d
@Grant Fuellenbach Hey, you’re in the JobTread Facebook group eh? Thanks for the tips! They’re mostly coming through field or email
What’s your social media presence like?
What’s your social media presence like, and have you built any workflows or automations around your content? Curious what people are actually doing here — what’s your presence like, what content works, and have you built or developed any workflows, content automations, scripts, etc. to make it easier?
0 likes • 16d
@Michael MacKrell Thanks for the advice! Can I choose all of the above lol?
How to Use AI in Construction Estimating - The 3 Levels
How to Use AI in Construction Estimating Without Losing Control of the Bid A construction estimate is a commitment: we can build this scope for this price, in this time, from documents we’ve often only had for a couple of weeks. That’s why handing the whole bid to AI and hoping for the best is a terrible idea. I think there are three sensible levels: - Start with risk reduction. Use AI to check your estimate for missed requirements, gaps, double-counting and formula errors. - Use it to structure information. Build requirements and clarifications registers, then review them before they feed into the next step. - Once your data is organised, use it for more of the heavy lifting like assemblies, line-item pricing, subcontractor quote comparisons and submission documents. The important part is keeping human review between each workflow so errors don’t compound. Where are you currently using AI in your estimating process?
0 likes • 30d
@Andrew Asnes that sounds awesome! Yeah I’m definitely interested, nice work!
What estimating software do you use?
There are five categories of tools we need to think about for estimating: - Take-off software - Estimating software - Document management - CRM and bid tracking - AI tools Some platforms do all of them, some only do one small, specific thing. Do I think you need five expensive construction-specific platforms? No. A smaller contractor could cover most of this with a purpose-built take-off tool, Excel, SharePoint or Google Drive, a simple CRM, and Claude or ChatGPT. As your team grows, dedicated estimating software or an all-in-one platform might make more sense. The important thing is choosing tools that suit your process and let you export your data. I broke down the different options in this video: https://youtu.be/AyL3tXCtz18 What does your current estimating stack look like? Which tools would you recommend?
2 likes • Aug 20
Using JobTread for estimating- has Cost Items, Cost Groups and Parameters for Take-offs. Also has a Claude MCP and is more of an all in one management, crm, platform too. Been playing around with Craftsman National Construction Estimator for various assemblies, production rates etc. Got some of the data into Airtable, but need to refine and figure out how to get it all working with JobTread I think lol?
0 likes • Aug 22
@Tim Fairley Great question lol! I probably can have most of it, just not sure how to use all these other skills with it?
Fable 5 vs GPT-5.6 SOL for AI Video Generation
I tested the same prompt in Higgsfield using Fable 5 and GPT-5.6 SOL to compare how each model handles AI video generation. While both produced impressive results, they differed in areas like motion consistency, scene composition, prompt interpretation and overall visual quality. Running the same prompt across multiple models is one of the best ways to understand their strengths and choose the right tool for different creative workflows. 💬 Which model has impressed you the most for AI video generation lately and what differences have you noticed in your own tests?
1 like • Aug 8
Hmmm, I liked Fable’s intro and Chat’s ending 😂
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Sam Ferguson
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42 points to level up
@sam-ferguson-5891
Owner, operator of Ferguson Brothers Contracting Ltd. Based out of North Vancouver BC Canada

Active 9h ago
Joined Mar 20, 2026
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