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docs: tighten See it work example — keep reframe hook, compress details
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@ -61,79 +61,43 @@ Real files get committed to your repo (not a submodule), so `git clone` just wor
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```
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```
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You: I want to build a daily briefing app for my calendar.
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You: I want to build a daily briefing app for my calendar.
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You: /office-hours
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You: /office-hours
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Claude: What does the pain look like? Specific examples — the last
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Claude: [asks about the pain — specific examples, not hypotheticals]
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time a conflict burned you, the daily friction of switching
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accounts, what your assistant has to do manually today.
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You: My assistant keeps messing things up... I have multiple Google
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You: My assistant keeps messing things up... multiple Google calendars,
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calendars and events have stale info, wrong locations. Logistics
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stale info, wrong locations. The prep docs were AI slop...
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AND prep for actual events. The prep docs were AI slop...
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Claude: I'm going to push back on the framing, because I think you've
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Claude: I'm going to push back on the framing. You said "daily briefing
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outgrown it. You said "daily briefing app for multi-Google-
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app." But what you actually described is a personal chief of
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Calendar management." But what you actually described is a
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staff AI.
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personal chief of staff AI — one that:
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[extracts 5 capabilities you didn't realize you were describing]
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1. Watches your calendar across all accounts
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[challenges 4 premises — you agree, disagree, or adjust]
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2. Generates real prep work — the intellectual work
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3. Manages your CRM — who are you meeting, what's the history
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4. Prioritizes your time — flags when prep needs to start early
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5. Trades money for leverage — finds ways to delegate or automate
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The calendar is the entry point, but the product is an AI that
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makes a busy CEO a 2000x CEO the way Claude Code makes them a
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2000x developer.
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[presents 4 premises for validation → you agree/disagree]
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[generates 3 implementation approaches with effort estimates]
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[generates 3 implementation approaches with effort estimates]
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RECOMMENDATION: Ship the narrowest wedge tomorrow, learn from
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APPROACH A: Daily Briefing First (Narrowest Wedge)
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real usage. The full vision is a 3-month project — start with
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Effort: M (human: ~3 weeks / CC: ~2 days)
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the daily briefing that actually works.
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Risk: Low — you use it tomorrow
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[writes design doc → feeds into downstream skills automatically]
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APPROACH B: CRM-First (Relationship Graph)
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Effort: L (human: ~6 weeks / CC: ~4 days)
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APPROACH C: Event Intelligence Engine (Full Vision)
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Effort: XL (human: ~3 months / CC: ~1.5 weeks)
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RECOMMENDATION: Choose A because it ships tomorrow and you
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learn from real usage. CRM data layer comes in the second
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week naturally.
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[writes design doc to ~/.gstack/projects/ — feeds into
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/plan-ceo-review and /plan-eng-review automatically]
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You: /plan-ceo-review
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You: /plan-ceo-review
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[reads the design doc, runs 10-section mega review]
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[reads the design doc, challenges scope, runs 10-section review]
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You: /plan-eng-review
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You: /plan-eng-review
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Claude: ┌─────────┐ ┌──────────┐ ┌──────────┐ ┌─────────┐
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[ASCII diagrams for data flow, state machines, error paths]
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│ Calendar│───▶│ Detect │───▶│ Generate │───▶│ Deliver │
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[test matrix, failure modes, security concerns]
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│ (sync) │ │ (stale) │ │ (prep) │ │ (email) │
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└─────────┘ └──────────┘ └──────────┘ └─────────┘
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[ASCII diagrams for every data flow, state machine, error path]
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[14-case test matrix, 6 failure modes mapped, 3 security concerns]
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You: Approve plan. Exit plan mode.
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You: Approve plan. Exit plan mode.
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[Claude writes 2,400 lines across 11 files — models, services,
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[writes 2,400 lines across 11 files. ~8 minutes.]
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controllers, views, migrations, and tests. ~8 minutes.]
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You: /review
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You: /review
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Claude: [AUTO-FIXED] Orphan S3 cleanup on failed upload
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[AUTO-FIXED] 2 issues. [ASK] Race condition → you approve fix.
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[AUTO-FIXED] Missing index on listings.status
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[ASK] Race condition on hero image selection → You: yes
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3 issues — 2 auto-fixed, 1 fixed.
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You: /qa https://staging.myapp.com
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You: /qa https://staging.myapp.com
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Claude: [opens real browser, logs in, clicks through flows]
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[opens real browser, clicks through flows, finds and fixes a bug]
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[finds bug: preview doesn't clear on second upload — fixes it]
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Regression test generated.
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You: /ship
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You: /ship
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Claude: Tests: 42 → 51 (+9 new)
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Tests: 42 → 51 (+9 new). PR: github.com/you/app/pull/42
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Coverage: 14/14 code paths (100%)
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PR: github.com/you/app/pull/42
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```
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```
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You said "daily briefing app." The agent said "you're describing a personal chief of staff AI" — because it listened to your actual pain, not your feature request. Then it challenged your premises, generated three implementation approaches, recommended the narrowest wedge, wrote a design doc, and that doc fed into every downstream skill automatically. Eight commands. That is not a copilot. That is a team.
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You said "daily briefing app." The agent said "you're building a chief of staff AI" — because it listened to your pain, not your feature request. Then it challenged your premises, generated three approaches, recommended the narrowest wedge, and wrote a design doc that fed into every downstream skill. Eight commands. That is not a copilot. That is a team.
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## The team
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## The team
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