Kjell Tore Guttormsen
e57dee5a03
Removes:
- All 6 PNG screenshots (playground/screenshots/) and the capture script
(scripts/screenshots/capture-playground.py).
- "Screenshots" section from plugin README.
- "Screenshot-suite" section from plugin CLAUDE.md.
- Screenshots bullet from marketplace root README's ms-ai-architect listing.
Scrubs the 17 synthetic fixtures + CHANGELOG/CLAUDE/README of identifying
references: organization names, government-agency names, agency-specific
terminology, sector-specific use cases. Replaced with generic placeholder
data ("Acme AS" / "Demosystem") that exercises the same parser archetypes.
Plugin's domain-target wording (Datatilsynet, offentlig sektor, offentlig
myndighet, rettshåndhevelse, NS 5814, Utredningsinstruksen, EU AI Act
Annex III categories) is intact — those describe the plugin's intended
audience, not any specific entity.
This is a cleanup commit. Earlier git history still contains the prior
references; force-push or rebase is required if scrubbing the history is
desired. That decision is out of scope here — please run it separately
if needed.
Verified post-scrub:
- bash tests/validate-plugin.sh -> 215/215 PASS
- bash tests/run-e2e.sh --playground -> 240/240 PASS (170 + 70)
48 lines
1.6 KiB
Markdown
48 lines
1.6 KiB
Markdown
# Kostnadsestimat — Demosystem
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System: Demosystem (Acme AS)
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Periode: 12 måneder fra produksjonssetting
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Valuta: NOK
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## Distribusjon (P10/P50/P90)
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| Persentil | Månedlig (NOK) | Årlig (NOK) |
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|-----------|----------------|-------------|
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| P10 | 78 000 | 936 000 |
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| P50 | 142 000 | 1 704 000 |
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| P90 | 285 000 | 3 420 000 |
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## Månedlig fordeling (P50)
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| Komponent | Kostnad (NOK/mnd) |
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|-----------|-------------------|
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| Azure AI Services (OCR + classification) | 64 000 |
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| Azure OpenAI (forklaringsmodell) | 28 000 |
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| Azure AI Search (indeks for objektregister) | 12 000 |
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| Storage (blob + cosmos for audit) | 8 500 |
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| Compute (Container Apps for orchestration) | 11 000 |
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| Networking (Private Endpoints + egress) | 5 200 |
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| Monitoring (Sentinel + Log Analytics) | 9 800 |
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| Backup og DR | 3 500 |
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## TCO-tabell (3 år)
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| År | Capex | Opex | Total | Akkumulert |
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|----|-------|------|-------|------------|
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| År 1 | 850 000 | 1 704 000 | 2 554 000 | 2 554 000 |
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| År 2 | 120 000 | 1 875 000 | 1 995 000 | 4 549 000 |
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| År 3 | 80 000 | 2 060 000 | 2 140 000 | 6 689 000 |
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## Kostnadsdrivere
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- Datavolum: ~12 millioner Demosystem-deteksjoner/mnd
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- Forklaring-prompt-tokens: ~250 tokens per flagged hendelse
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- Reservert kapasitet for 99.9% SLA
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## Konfidensgradering
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P50 er beregnet med 95% konfidens basert på 6 måneder pilot-data. P90 inkluderer 2× volum-skalering ved fullnasjonal utrulling. P10 forutsetter optimaliserte prompt-cache (>40% hit-rate).
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## Anbefaling
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Bruk P50 som budsjettlinje. Sett alarm på 1.4× P50 (≈ 200 000/mnd) for tidlig varsling.
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