ChatGPT Prompts for Architects (Design + Practice)
20 copy-paste ChatGPT prompts for architects: programming briefs, schematic narratives, client conversations, code research, specification drafting, and the practice management work that eats studio hours.
In short: This page contains 16 copy-paste ready prompts, organized into 4 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Hand-curated and tested by the AI Academy team.
Programming + Schematic
4 promptsProgramming Brief from Client Conversation
1/16✨ What it does
ChatGPT turns [Paste client meeting notes] into a programming brief with spaces and square footage, adjacencies, performance, aesthetic direction, budget, schedule, sustainability, and accessibility. Flag where the client contradicted themselves, then reconcile those points before schematic.
[Paste client meeting notes]. Build programming brief: spaces required + sf, adjacency requirements, performance criteria, aesthetic direction, budget, schedule, sustainability targets, accessibility. Flag where client said opposing things — needs reconciliation.
Pro tip: Clients say contradictory things across meetings. Surfacing contradictions early = shorter design phase. Hidden until DD = expensive rework.
Site Analysis Narrative
2/16✨ What it does
ChatGPT writes a site analysis narrative for [project] covering location, climate, sun, wind, views, access, neighbors, zoning, and opportunities versus constraints. Use it to justify design moves, not as a list of observations.
Site analysis narrative for [project]. Output: location context, climate considerations, sun/wind/views, vehicular + pedestrian access, neighbors, zoning constraints, opportunities + constraints. Inform design moves; not just observation.
Pro tip: Site analysis as observation = pretty but useless. Site analysis as design driver ("south sun → east bedroom orientation") = sets up design. Cause + effect analysis.
Schematic Design Narrative
3/16✨ What it does
ChatGPT writes a schematic design narrative for [project] with design intent, organizational concept, site response, materiality, sustainability, key moves, and program departures with rationale. Share a version the client can read and a version that can travel with a permit set.
Schematic design narrative for [project]. Output: design intent, organizational concept, site response, materiality direction, sustainability strategy, key design moves, departures from program with rationale. Client-readable + permit-suitable.
Pro tip: SD narrative serves dual purpose. Client paragraphs + technical paragraphs. Two-version doc = different audiences served well. Most narratives only serve one.
Sustainability Narrative
4/16✨ What it does
ChatGPT writes a sustainability narrative for [project] covering the targeted certification (LEED, WELL, or Living Building), passive, energy, water, materials, and indoor strategies, projected outcomes, and what you will pursue versus only considered. Keep it honest; cut claims you will not fund.
Sustainability narrative for [project]. Output: targeted certification (LEED / WELL / Living Building), strategies (passive design, energy, water, materials, IEQ), specific design moves, projected outcomes vs baseline, what we WILL pursue vs what was considered. Honest.
Pro tip: Sustainability narratives that promise everything = fail at certification. Honest "we're pursuing X cert via these strategies" = achievable + credible. Aspirational without budget = abandoned.
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Codes + Specifications
4 promptsCode Research Summary
5/16✨ What it does
ChatGPT researches codes for [Project type + jurisdiction] covering occupancy, fire and egress, accessibility, zoning, and energy, with applicable sections, constraints, likely conflicts, and a note to get expert review. Verify every citation against the current code; do not trust invented section numbers.
[Project type + jurisdiction]. Research applicable codes: occupancy classification, fire/egress, accessibility, zoning, energy codes. Output: applicable code sections, design constraints, where I might conflict, expert review recommended. Verify against current code; AI hallucinates citations.
Pro tip: Code research at programming = avoid expensive redesign at DD. Ignored at programming = "wait, can't have stair here" at DD. Front-load.
Egress Analysis
6/16✨ What it does
ChatGPT checks egress from [Paste plan + occupancy] for occupant load, paths, travel distance, common path, dead ends, exit width, and exit signs, and flags possible violations. Recheck each flag against the current jurisdiction code before you change the plan.
[Paste plan + occupancy]. Verify egress: occupant load by space, egress paths, travel distance, common path, dead ends, exit width, exit signs. Flag potential code violations. Verify against current jurisdiction code.
Pro tip: Egress mistakes = re-permit. Catching at SD = simple. At permit submission = expensive redesign + delay. AI as second-eye is cheap insurance.
Specification Section Drafting
7/16✨ What it does
ChatGPT drafts a CSI MasterFormat spec section for [system] with Part 1 general, Part 2 products, and Part 3 execution, plus manufacturer references and performance criteria. Edit the products to ones you will actually specify, then drop it into the project manual.
CSI MasterFormat spec section for [system]. Output: Part 1 (general), Part 2 (products), Part 3 (execution). Manufacturer references where appropriate. Performance criteria specified. Standard CSI structure.
Pro tip: Specs = legal docs. AI draft = first pass; expert review essential. CSI structure consistent = contractor pricing accurate; non-standard format = inflated bids from contractor uncertainty.
ADA + Accessibility Audit
8/16✨ What it does
ChatGPT audits [Paste design] for accessibility, covering common ADAAG fail areas (clearances, hardware, mounting, slope, parking, restrooms), state amendments, and risk areas. Cross-check every item against current ADAAG and your state's amendments before you issue.
[Paste design]. Audit for accessibility: ADAAG common-fail areas (clearances, hardware, mounting, slope, parking, restrooms), state-specific amendments, risk areas. Always cross-check with current ADAAG + state amendments.
Pro tip: Accessibility violations costly + create risk. Catching at design = simple fix. Catching post-construction = retrofit + lawsuits. AI audit = cheap pre-permit pass.
Client + Project Communication
4 promptsClient Meeting Agenda
9/16✨ What it does
ChatGPT builds a client meeting agenda for [phase] with pre-reads, decision items first then information, decision rights, time, expected outcomes, and follow-up commitments. Send the pre-read early, then run the meeting to the decision list.
Client meeting agenda for [phase]. Output: pre-read materials, agenda items in order (decisions first, info-share later, action items), decision rights per item, time allocation, expected outcomes, follow-up commitments.
Pro tip: Agenda-less meetings = circular conversation + no decisions. Agenda forcing decisions = momentum. Hour without agenda = same outcome as 20-min agenda-driven meeting.
Decision Document
10/16✨ What it does
ChatGPT writes a decision document for [describe] with the decision, options, pros and cons, a recommendation and rationale, deadline, delay consequences, and a sign-off line. Get the signature; verbal decisions get reopened.
Decision document. Decision: [describe]. Output: decision being made, options considered, pros/cons, recommendation with rationale, deadline, consequences of delay, sign-off line. Verbal decisions get re-litigated; written ones don't.
Pro tip: "I thought we decided X" = endless rework. Written decision documents signed = closure. Sounds bureaucratic; saves projects.
Site Visit Report
11/16✨ What it does
ChatGPT turns [Paste site visit notes] into a formal report with date, attendees, observations by trade, drawing deviations, clarifications, action items and owners, photo references, and the next visit. File it so you have a record of what was said and when.
[Paste site visit notes]. Convert to formal site visit report: date + attendees, observations by trade, deviations from drawings, clarifications needed, action items + owners, photographs reference, next visit. Documents what + when + who said.
Pro tip: Site visit reports = legal record. Inconsistent reports = exposed during disputes. Consistent format = defensible practice.
RFI Response Drafting
12/16✨ What it does
ChatGPT drafts an RFI response to [paste] with a clarification of intent, a design decision if needed, drawing or spec references, who else to notify, and schedule plus fee impact. Defer structural and MEP calls to the engineer of record; you do not answer those.
RFI from contractor: [paste]. Help draft response: clarification of intent, design decision if needed, drawing/spec reference, who else needs notification, schedule + fee impact assessment. Defer to engineer of record on structural/MEP.
Pro tip: Casual email response to RFI = liability. Formal RFI response = record. Always defer to engineer of record on structural/MEP; architect coordinates but doesn't guess on others' disciplines.
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Practice Management
4 promptsFee Proposal Letter
13/16✨ What it does
ChatGPT writes a fee proposal for [project type, scope, schedule] with services per SD, DD, CD, and CA, fee per phase, additional services, reimbursables, milestones, payment terms, and exclusions. Keep it legally precise and readable, then send it before you start unpaid work.
Fee proposal for [project type, scope, schedule]. Output: scope of services per phase (SD/DD/CD/CA), fee per phase, additional services framework, reimbursables, schedule milestones, payment terms, exclusions. Legal-precise + readable.
Pro tip: Vague fee proposals = scope creep without comp. Specific scope per phase + change-order framework = profitable + clear. Boring fee proposals serve you.
AIA Contract Markup
14/16✨ What it does
ChatGPT reviews [Paste contract section] for standard AIA terms versus unusual ones, owner-favorable versus neutral versus architect-favorable language, key risks, and suggested edits. Mark the negotiation points, then have an architect-licensed attorney do the final markup.
[Paste contract section]. Help me identify what to negotiate: standard AIA terms vs unusual ones, owner-favorable vs neutral vs A/E-favorable, key risks, suggested edits. Architect-licensed attorney essential for final markup.
Pro tip: Contract review = legal practice. AI identifies issues; licensed attorney negotiates. Don't practice law; do flag issues for attorney review.
Project Profitability Tracking
15/16✨ What it does
ChatGPT runs a profitability check from hours invested versus fee earned, with realization rate, scope-creep cost, baseline comparison, recovery options, and lessons for the next job. Act on the recovery options this month; do not wait for the next project to learn.
Project profitability check. Hours invested vs fee earned. Output: realization rate, scope creep cost, profitability comparison to baseline, recovery options, lessons for next project. Architecture firms famously bad at profitability tracking.
Pro tip: Architecture practices that don't track profitability = unprofitable. Discipline of project P&L = sustainable practice. Most studios discover loss too late.
Studio Marketing Strategy
16/16✨ What it does
ChatGPT builds a studio marketing strategy for [niche] covering who you want as clients, built-work and thought-leadership themes, architectural press, AIA awards, networking, referral sources, and a 90-day plan. Run the 90-day plan, then chase work that can support better fees.
Studio marketing strategy for [niche]. Output: ICP, content themes (built work + thought leadership), publication strategy (architectural press), AIA awards strategy, networking, referral source map, 90-day plan. Specialty = better fees + meaningful work.
Pro tip: Generalist studios compete on price + relationship. Niche studios ("modern residential in Pacific NW") attract aligned clients + premium fees. Niche down for studio profitability.
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