Prompt Library

ChatGPT Prompts for Architects (Design + Practice)

20 copy-paste prompts

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.

Programming + Schematic

4 prompts

Programming Brief from Client Conversation

1/20

[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.

Builds programming briefs.

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Pro tip: Clients say contradictory things across meetings. Surfacing contradictions early = shorter design phase. Hidden until DD = expensive rework.

Site Analysis Narrative

2/20

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.

Writes site analysis narratives.

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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

3/20

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.

Writes schematic design narratives.

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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

4/20

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.

Writes sustainability narratives.

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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 prompts

Code Research Summary

5/20

[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.

Researches codes.

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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

6/20

[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.

Verifies egress requirements.

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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

7/20

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.

Drafts CSI specifications.

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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

8/20

[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.

Audits accessibility compliance.

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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 prompts

Client Meeting Agenda

9/20

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.

Builds client meeting agendas.

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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

10/20

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.

Writes decision documents.

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Pro tip: "I thought we decided X" = endless rework. Written decision documents signed = closure. Sounds bureaucratic; saves projects.

Site Visit Report

11/20

[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.

Writes site visit reports.

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Pro tip: Site visit reports = legal record. Inconsistent reports = exposed during disputes. Consistent format = defensible practice.

RFI Response Drafting

12/20

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.

Drafts RFI responses.

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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 prompts

Fee Proposal Letter

13/20

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.

Writes fee proposals.

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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

14/20

[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.

Reviews contract sections.

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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

15/20

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.

Tracks project profitability.

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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

16/20

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.

Builds studio marketing strategies.

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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.

Frequently Asked Questions

It knows IBC + ADA + LEED basics + intermediate. Local amendments + recent code changes + AHJ interpretations = unreliable. Use ChatGPT for first-pass research; verify against current jurisdiction code + AHJ. Brainstorm tool, not code authority.
No native CAD/BIM. ChatGPT reasons about programming, narratives, code, specifications. Visual design happens in Revit/Rhino/SketchUp. ChatGPT + DALL-E for concept renderings; not construction documents.
Architect of record signs the drawings. AI drafts don't change liability. Use AI for productivity + quality (catching errors); human review + sign-off remains required.
Specifications drafts, code research, client communication, fee proposals, project documentation. Areas where small firms have less staff = AI replaces missing department. Levels playing field with bigger firms.
No. Building design is judgment + relationships + on-site reality. Documentation + research + admin shrinks. Architects who use AI well will out-deliver firms that don't.

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