Take one platform decision — build vs buy for Orbit's copilot platform — and render it at three altitudes: a board one-pager, a five-slide engineering-leadership outline, and a build-team brief. Then plant one inconsistency between altitudes on purpose, and prove your AI consistency checker actually catches it before you trust it with the real pack.
The architect's differentiating skill, in the elevator framing this track borrows, is riding between the penthouse and the engine room without changing the story — only the altitude. Anita has made her recommendation on Orbit's copilot platform; now the same decision must survive a board that reads money and risk, an engineering-leadership group that reads trade-offs, and a build team that reads interfaces and definitions of done. AI removes the production cost of writing three artifacts; it does not remove the failure mode that kills packs like this in review: the versions quietly contradicting each other. So this lab makes verification part of the deliverable — you will seed a contradiction, catch it mechanically, fix it, and only then call the pack done.
~60 minutes hands-on · Core tier (maps to module M3). Runs at ~₹0 — design-artifact lab; any chat assistant with a decent context window (free tier or local via Ollama) is sufficient.
Create lab-15/ with one-pager.md, leadership-deck.md, team-brief.md, and consistency-report.md.
The decision brief, exactly as Anita's working notes state it (all numbers synthetic):
DECISION: Platform for Orbit's customer-facing copilots (orbit-docs-copilot
first, two more copilots on the 18-month roadmap).
OPTION A - BUY: managed AI platform suite (vendor "NimbusAI").
Vendor-quoted ~Rs 66L/year at projected usage; runs with 2 engineers.
Live in ~6 weeks. Vendor claim in the proposal: "unlimited evaluation
runs included at no extra cost." Exit cost: HIGH - prompts, eval sets
and routing config in proprietary formats; egress rework est. 2 quarters.
OPTION B - BUILD: OSS gateway + agent framework + pgvector on Orbit's
existing cloud. Est. ~Rs 38L/year infra + the time of 4 engineers for
2 quarters, then 2 to run. Live in ~14 weeks. Exit cost: LOW -
every component replaceable; model APIs already abstracted.
RECOMMENDATION (decided): B-hybrid - BUY managed model APIs, BUILD the
orchestration/eval/gateway layer on OSS. Cost path ~Rs 45L/year steady
state. Live in ~12 weeks. Needs 4 engineers for phase 1, 2 ongoing.
KEY RISKS: hiring/retention of the 4; OSS component churn; 12-week
timeline slips if eval tooling is underestimated.
ASK: approve Rs 45L/year run-rate + 2 backfill hires; phase-1 review
gate at week 6.
One instruction before you draft: the NimbusAI "unlimited evaluation runs at no extra cost" line is a vendor claim inside an AI-summarized proposal. Decide during Step 2 what a responsible pack does with it.
Before any audience-shaped prose, extract the invariants — the facts that must be identical at every altitude. In a scratch section at the top of consistency-report.md, list them: the decision (B-hybrid), steady-state cost (₹45L/yr), timeline (12 weeks, gate at week 6), staffing (4 then 2, +2 hires), top three risks, and the ask. This spine is your single source of truth; every artifact derives from it, and the consistency check will test against it.
✅ Checkpoint: the spine exists with the six invariants; nothing in it is audience-flavored.
Draft one-pager.md with your assistant, then edit hard. Penthouse rules: one page; leads with the business outcome (three customer-facing copilots on one platform) and the ask; at most three numbers (₹45L/yr, 12 weeks, 2 hires); risk stated in exposure terms ("vendor lock-in avoided — exit measured in weeks, not quarters"), not component terms; zero product names except where the board must approve spend on one. And the vendor-claim decision: a board pager that repeats "unlimited evals at no cost" as fact has laundered an unverified vendor claim upward — either omit it or mark it as "vendor-claimed, verification pending." Choose and note your choice in the margin.
✅ Checkpoint: one page, ≤3 numbers, ask in the first or last paragraph, and the NimbusAI claim either absent or explicitly flagged as unverified.
Draft leadership-deck.md as five slides, outline form (title + 3–5 bullets each):
This altitude gets trade-off honesty the board pager compresses: leadership should see what was given up (six weeks, vendor support SLAs) and why that is acceptable.
✅ Checkpoint: five slides, every spine invariant present, and slide 2 shows at least one real disadvantage of the chosen option.
Draft team-brief.md — engine-room altitude. Contents: the component list (gateway, orchestration layer, eval harness, vector store, managed model APIs) with what is decided vs open per component; interfaces and constraints (model APIs behind the gateway abstraction from day one — that is what keeps the exit cost low, so it is non-negotiable); phase-1 definition of done (first copilot serving through the new stack, eval gate in CI, week-6 review evidence); and the same risks translated into engineering terms ("eval tooling underestimated" becomes "eval harness is on the critical path — spike it in week 1"). No business framing; a new joiner should know what to build by Friday.
✅ Checkpoint: every component labeled decided/open, phase-1 DoD stated, and the week-6 gate appears with the evidence it requires.
Now prove your verification step works before trusting it — the same test-the-test discipline as seeding a defect in a pipeline. Deliberately introduce one contradiction between altitudes: change the deck's steady-state cost to ₹52L/yr (leave the pager and brief at ₹45L). Then run this consistency-check prompt with all three artifacts pasted in:
You are auditing three artifacts that describe ONE decision at three
altitudes (board, engineering leadership, build team). Build a table of
every fact that appears in two or more artifacts: decision, costs,
timelines, staffing, risks, asks, scope. Columns: fact | one-pager says |
deck says | brief says | consistent? For each inconsistency, quote the
conflicting phrases verbatim. Distinguish true contradictions from
altitude-appropriate differences in detail (an omission or a rounding at
a higher altitude is NOT a contradiction - flag only conflicts). End
with: CONSISTENT or N CONTRADICTIONS FOUND.
Save the output to consistency-report.md. Confirm the checker caught the planted ₹52L/₹45L conflict with verbatim quotes. If it did not, tighten the prompt (or your artifacts' phrasing) and rerun until it does — a checker that misses a planted defect has no authority over real ones. Then fix the deck back to ₹45L, rerun, and file the clean report below the dirty one.
✅ Checkpoint: consistency-report.md contains both runs — one catching the planted contradiction with quotes, one ending CONSISTENT.
Read the three artifacts in order, penthouse to engine room, and check the elevator property: each level adds detail without changing any invariant, and each level answers its audience's first question in its first breath (board: "what do you need and what's the risk?"; leadership: "why this option?"; team: "what do I build?"). Fix anything that reads like the wrong floor — jargon in the pager, business hedging in the brief.
✅ Checkpoint: one sentence written at the bottom of the consistency report: which artifact drifted most from its altitude, and what you changed.
Consistency across altitudes is a verifiable property, not a writing virtue — derive every version from one spine, seed a defect to prove your checker sees, and only then let the checker guard the real pack.
The lab-15/ three-altitude pack: one-pager.md, leadership-deck.md, team-brief.md, and consistency-report.md (spine + dirty run + clean run + altitude note). Self-grading rubric (pass = 8/10):
This lab's brief is synthetic, but the elevator pack is exactly the artifact class most likely to contain real client strategy — costs, vendor names, roadmap dates. On engagements: draft with the client-approved tenancy or a local model, never a personal chatbot account; strip vendor pricing and internal cost figures before using any external AI for wordsmithing; and keep the consistency-check step inside the same boundary as the artifacts, since the check requires pasting all three at once — the full pack is the most concentrated leak surface you will create all week. The spine-plus-checker method itself is client-portable and worth showing: it is an audit trail for communication accuracy.
The seeded elements and what they teach: