Construction AI · Vendor evaluation

Blocks

Test every construction AI vendor on the same realistic practice project, with findings in dollars and days.

A 32-second film about Blocks: Six AI demos. Six promises. One realistic practice project. Every AI, same test. Mistakes, in dollars and days. Findings you can check. Know how the AI performs first.

What Blocks does

Before a general contractor buys an AI assistant, Blocks runs every vendor's AI through the same realistic practice construction project and reports, in dollars and days, where each would have made mistakes — graded by code, with findings your risk team can check line by line.

The film in 6 lines

  1. 01Six AI demos. Six promises.
  2. 02One realistic practice project.
  3. 03Every AI, same test.
  4. 04Mistakes, in dollars and days.
  5. 05Findings you can check.
  6. 06Know how the AI performs first.
Full on-screen transcript
  • Six AI demos. Six promises.
  • One realistic practice project.
  • Every AI, same test.
  • Mistakes, in dollars and days.
  • Findings you can check.
  • Know how the AI performs first.
  • Book a demo
  • Never misses a deadline.
  • Cuts RFI time by 80%.
  • Your AI project engineer.
  • 99% accurate.
  • Fully autonomous PM.
  • Enterprise-grade AI.
  • Houston Medical Office Fit-Out
  • Practice project
  • Zero real project data
  • Agent Bake-off: Houston Medical Office Fit-Out
  • Payment clocks
  • Lien & retainage
  • Information boundaries
  • Record reconciliation
  • As-of discipline
  • Directed actions
  • Partial submission
  • Scripted reference floor
  • Sealed
  • F-01
  • Material
  • Lien deadline missed on pay app 7
  • Lien rights on
  • would have lapsed.
  • Deadline · day 118
  • Vendor acted · day 129
  • 11 days late
  • Check it: PA-07 · DL-118 · notice log
  • Graded by code, not by a model
  • $187,500 released ahead of the statutory window
  • GC's internal contingency figure leaked to a subcontractor
  • Findings summary
  • Six vendors · one practice project · graded by code, not by a model
  • Deploy with conditions
  • Material findings

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