crop · 852 × 387
p02_r03 gdot p i no
not analysedgdot_plan_4c10f63317614b24a75dac39cb46cc17_p02_r03_gdot_p_i_no
Not read yet. Press Analyse crops, or read this one on its own.
Mindmap builder
GDOT 24
1Read the crops37 crops · 0 readconfigured openai/gpt-5.6-terra-pro · about 21¢ for 37 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.
37 crops, none read yet.
Page 213 crops · 0 read
crop · 1686 × 1102
p02_r04 design specifications live load and material strength data
not analysedgdot_plan_4c10f63317614b24a75dac39cb46cc17_p02_r04_design_specifications_live_load_and_material_strength_data
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1797 × 770
p02_r05 each bridge consists of
not analysedgdot_plan_4c10f63317614b24a75dac39cb46cc17_p02_r05_each_bridge_consists_of
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1778 × 403
p02_r06 traffic data
not analysedgdot_plan_4c10f63317614b24a75dac39cb46cc17_p02_r06_traffic_data
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1693 × 1202
p02_r07 summary of quantities
not analysedgdot_plan_4c10f63317614b24a75dac39cb46cc17_p02_r07_summary_of_quantities
Not read yet. Press Analyse crops, or read this one on its own.
crop · 521 × 182
p02_r08 utilities
not analysedgdot_plan_4c10f63317614b24a75dac39cb46cc17_p02_r08_utilities
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1860 × 2051
p02_r09 general notes
not analysedgdot_plan_4c10f63317614b24a75dac39cb46cc17_p02_r09_general_notes
Not read yet. Press Analyse crops, or read this one on its own.
crop · 1861 × 1343
p02_r10 department of transportation general notes title block
not analysedgdot_plan_4c10f63317614b24a75dac39cb46cc17_p02_r10_department_of_transportation_general_notes_title_block
Not read yet. Press Analyse crops, or read this one on its own.
item · 900 × 418
Gdot Project Title Block Header
not analysedgdot_project_title_block_header_p02_r03
Not read yet. Press Analyse crops, or read this one on its own.
item · 2250 × 3282
General Notes For Bridge Piles And Superstructure
not analysedgeneral_notes_for_bridge_piles_and_superstructure_p02_r01
Not read yet. Press Analyse crops, or read this one on its own.
item · 1908 × 2081
General Notes
not analysedgeneral_notes_p02_r09Substructure
Not read yet. Press Analyse crops, or read this one on its own.
item · 1825 × 434
Traffic Data
not analysedtraffic_data_p02_r06Substructure
Not read yet. Press Analyse crops, or read this one on its own.
item · 568 × 212
Utilities On Bridge
not analysedutilities_on_bridge_p02_r08Substructure
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 = gdot_plan-4c10f63317614b24a75dac39cb46cc17.