PROJECT-AWARE AI
Read the documents together. Understand the disagreement. Find the missing instruction. Keep the designer in charge.
Explore the sample reviewTHE INTELLIGENCE IN THE DETAILS
AI that reads across your project context, explains what needs attention, and prepares the next step for a person to approve.
MORE CONTEXT. MORE USEFUL REASONING.
Useful specification intelligence joins the design intent to product information, project standards, supplier updates, and the latest approved decision.
Long-context language and multimodal analysis connect what is stated, what conflicts, and what still needs to be asked.
THE WORK AI CAN TAKE ON
Turn product sheets, selection schedules, and supplier notes into candidate fields. Preserve the source and ask for review where the document is incomplete.
Check required room fields, compare finish codes and dimensions across records, and separate a missing answer from an actual contradiction.
Compare an alternative against the approved intent: dimensions, material, finish, stated lead time, and documented price. Highlight unknown compatibility rather than assuming equivalence.
Trace a proposed change into related specifications, procurement questions, installation notes, approval needs, and downstream handoffs.
Find relevant past details and office standards. Keep historical information separate from current manufacturer data and project-specific approval.
Prepare a concise review brief, an RFI draft, a supplier question, or a structured follow-up. Important updates remain reviewable before issue.
AN ALTERNATIVE IS NOT AUTOMATICALLY AN EQUIVALENT
Try an illustrative fixture comparison. A cheaper price or earlier date does not answer every design, procurement or installation question.
APPROVED INTENT / LT-03
48-inch body, 2700K light output and a $780 unit allowance. Ceiling support and the control system still need project-specific review.
Example figures only. Not a live supplier quote.
Line-item price difference = (example unit price − $780 allowance) × quantity. Tax, shipping, installation and accessory costs are excluded. Product descriptions and lead times are authored examples, not availability checks. Finish wording does not establish a visual match; matching dimensions do not establish electrical or structural compatibility. A responsible person must review the actual manufacturer documents before approving a substitution.
WHY THE PROJECT CONTEXT MATTERS
A useful AI review reads across related records, distinguishes their authority and turns the result into a checkable action—not a polished guess.
A supplier sheet may contain several models, dimensions and finishes. Identify which variant the project actually selected before extracting a number. Retain units and source locations; flag ambiguous tables instead of filling the gap.
A schedule, an email and an approved selection can describe different moments in a project. Compare dates, revisions and decision states rather than assuming the latest message automatically overrides the approved record.
A thicker countertop can affect edge details, clearance and fabrication assumptions. A fixture change can affect mounting and control-system questions. Trace related items without claiming an engineering conclusion.
Turn a finding into an RFI draft, an issue-list entry or a decision brief. Separate the observation, supporting evidence, suggested action and approval requirement so the result can enter an accountable workflow.
INTELLIGENCE WITH BOUNDARIES
AI should make uncertainty easier to see, not easier to overlook.
DESIGN FORWARD. BUILD WITH CLARITY.
Bring us a room, a spec sheet, or a process you want to improve.
Let’s talk about what better coordination could look like.