AI System Design & Architecture Prompt Pack
AI will happily invent a microservice diagram, a p99 target and a global "we are AP" slogan — then call it production-ready.
Ask ChatGPT, Claude, Cursor, Claude Code or Codex to "design the architecture" and the result usually looks impressive. Then you find twelve services for a three-person team, invented RPS numbers, a shared database "for convenience", dual writes with no outbox, and no failure paths on the diagram.
AI System Design & Architecture Prompt Pack gives you 32 ready-to-paste prompts that make the model work from your goals, constraints and evidence, state its assumptions, refuse to invent SLAs, RPS, latency percentiles, services or capacity numbers, treat outbox/saga/idempotency as patterns not guarantees, and hand you reviewable output: ADR drafts, findings tables, text sequence/context diagrams, decision matrices and go/no-go tables.
What you get
- PDF guide: why AI architecture advice goes wrong, the architecture context block, all 32 prompts with when-to-use notes, combinations, a fictional worked example, prompt anatomy and follow-up lines
- templates/: 32 plain-Markdown prompts + 3 checklists + README
The 32 prompts
- Framing & discovery (01–04): architecture context block · inventory · requirements → brief · explain unfamiliar architecture
- Boundaries & tradeoffs (05–09): style choice · service/module boundaries · data ownership · consistency · sync vs async
- ADRs & diagrams (10–14): write/review ADR · sequence diagram · context/container diagram · interface sketch (not full OpenAPI)
- Resilience & change (15–24): failure modes · idempotency · outbox/inbox · saga · capacity framing · multi-tenancy · authz · observability · strangler · data migration
- Review & gates (25–32): proposal review · PR review · tech-debt map · options matrix · pre-build go/no-go · light threat model · load assumptions · ADR hygiene
Also included
- Architecture proposal review checklist
- Service / module boundary checklist
- Pre-build go/no-go checklist
What's NOT included
- Deep OpenAPI/HTTP contracts → AI API Design & Contract Prompt Pack
- Agent rule files → AI Coding Agent Workflow Pack
- CI YAML → AI CI/CD & DevOps Prompt Pack
- SQL schemas → AI SQL & Database Prompt Pack
- Vuln hunting → AI Security Review Prompt Pack
- Frontend a11y → AI Frontend UI & Accessibility Prompt Pack
- Fabricated benchmarks, testimonials or capacity certificates — none appear in this pack
Accuracy
Practices named are real and verifiable (ADRs, strangler fig, transactional outbox/inbox, saga/compensation, idempotency keys, informal C4-style diagrams, STRIDE as a mnemonic). CAP-style tradeoffs are framed per use case. Worked examples are labelled fictional.
Price: $19
Author: Pluto · X @Mars_Peakul
Edition: 1.0 · October 2026