crop · 2389 × 3201
p01_r30 tie beam layout
not analysedmkpa_techno_building_2025_job_020_structural_43ddbb3f10_a7e_3e613d043d_p01_r30_tie_beam_layout
Not read yet. Press Analyse crops, or read this one on its own.
1Read the crops64 crops · 0 readconfigured openai/gpt-5.6-terra-pro · about 36¢ for 64 crops · default
Every cropped image from the cropping run, page by page, with what the model read off it: view, objects, measurements, notes and labels. Click a crop to see it beside its JSON.
64 crops, none read yet.
Page 116 crops · 0 read
crop · 2099 × 3159
p01_r31 1st floor beam layout
not analysedmkpa_techno_building_2025_job_020_structural_43ddbb3f10_a7e_3e613d043d_p01_r31_1st_floor_beam_layout
Not read yet. Press Analyse crops, or read this one on its own.
crop · 2778 × 3229
p01_r32 2nd floor beam layout
not analysedmkpa_techno_building_2025_job_020_structural_43ddbb3f10_a7e_3e613d043d_p01_r32_2nd_floor_beam_layout
Not read yet. Press Analyse crops, or read this one on its own.
item · 3895 × 7623
Multiple Schedules
not analysedmultiple_schedules_p01_r03
Not read yet. Press Analyse crops, or read this one on its own.
item · 2733 × 1492
Owner Certification
not analysedowner_certification_p01_r22
Not read yet. Press Analyse crops, or read this one on its own.
item · 2749 × 1919
Pile Cap
not analysedpile_cap_p01_r17Earthworkscross section
Not read yet. Press Analyse crops, or read this one on its own.
item · 2265 × 1756
Pile Cap
not analysedpile_cap_p01_r21
Not read yet. Press Analyse crops, or read this one on its own.
item · 3558 × 8278
Pile
not analysedpile_p01_r08Earthworkscross section
Not read yet. Press Analyse crops, or read this one on its own.
item · 3051 × 4063
Piles And Pile Caps
not analysedpiles_and_pile_caps_p01_r28
Not read yet. Press Analyse crops, or read this one on its own.
item · 3819 × 4239
Reinforced Concrete Staircase
not analysedreinforced_concrete_staircase_p01_r16cross section
Not read yet. Press Analyse crops, or read this one on its own.
item · 2192 × 2652
Roof Beam Layout And Column Section
not analysedroof_beam_layout_and_column_section_p01_r26
Not read yet. Press Analyse crops, or read this one on its own.
item · 2348 × 2784
Roof Beams
not analysedroof_beams_p01_r24
Not read yet. Press Analyse crops, or read this one on its own.
item · 9173 × 1616
Slab And Beam
not analysedslab_and_beam_p01_r05
Not read yet. Press Analyse crops, or read this one on its own.
item · 2390 × 1809
Tie Beam Tb3
not analysedtie_beam_tb3_p01_r15cross section
Not read yet. Press Analyse crops, or read this one on its own.
item · 2521 × 3293
Tie Beams
not analysedtie_beams_p01_r30
Not read yet. Press Analyse crops, or read this one on its own.
item · 3145 × 11589
Title Block
not analysedtitle_block_p01_r01
Not read yet. Press Analyse crops, or read this one on its own.
2Map the itemsnot mapped yetconfigured openai/gpt-5.6-terra-pro · $1.00 → $6.00 per M · default
One set of distinct items across every page. The same bent read as “BENT”, “Interior bent” and “Bent No. 2” is one item here, carrying every page and crop it was seen in. One model call over all of step 1’s readings; the page mapping is resolved from its grouping rather than retyped by it.
Read the crops in step 1 first — there is nothing to group yet.
No items yet. Read the crops in step 1, then map them.
3Match the ontologynot matched yetconfigured openai/gpt-5.6-terra-pro · $1.00 → $6.00 per M · default
Every item from step 2 compared against the project’s engineering ontology, and then, for each one that lands in a class, a take-off of what that class asks for. The class list goes up as a closed vocabulary, so regional wording resolves without a synonym table — BENT to a pier system, PSC BEAM to a prestressed girder. Any class id that is not in the ontology is rejected rather than stored. The take-off reads every crop behind an item, derives what the drawings imply, shows its arithmetic, and says plainly when a number is not there.
Map the items in step 2 first — there is nothing to classify yet.
Nothing classified yet. Map the items in step 2, then match them here.
◈Index for the agentnot indexed · 0 points ready
Everything steps 1 and 2 know, written to the vector store for a chat agent to answer from. Cut fine — a point for each object, each measurement and each note, not one per crop — with the page, the crop and the drawing written into every one, so a retrieved number arrives with enough context to be an answer. The readings as a whole and step 2’s items are indexed too, for the questions that are about a drawing rather than a figure.
Re-runnable at any time: each point is keyed to the record it came from, so re-indexing replaces what changed, adds what is new, and drops what the drawings no longer support. Re-read a crop or correct one by hand, then press this.
Nothing to index yet — read the crops in step 1 first.
Collection mindmap_vectors, filtered on projectId = mkpa_techno_building_2025_job_020_structural_43ddbb3f10-a7e6f52557d94fa59120d99e45893862.