settled-reach/docs/workshops/commodity-catalog/tyre-round2.md

Tyre — Round 2 Converged Proposal

cracks knuckles — I've cross-read all four Round 1 outputs. Here's the converged technical proposal addressing all five lead directives.

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1. Resolving the Luxury Goods Tension (Directive b)

The lead identified the core problem: if "luxury goods" is one abstract commodity, how does Calloway whisky (12-20y aging, terroir ceiling), Kvitfjell marble (800t/y geological ceiling), and VGV wine (F8V stellar lock) coexist in the simulation with their radically different constraints?

Solution: three-layer separation.

Layer	What it knows	Example
Commodity catalog	One entry: luxury_goods. Abstract category.	luxury_goods, tier=final, elasticity=highly_elastic
Production chains	Multiple recipes produce the same output from different inputs.	luxury_from_agriculture, luxury_from_stone, luxury_from_textiles
Corporation data	Per-corp production constraints: location lock, capacity ceiling, aging pipeline, terroir.	Calloway operates luxury_from_agriculture at Calloway Reach, 12-20y aging, terroir-locked

This works because:

• The commodity stays abstract (directive a — brands are not commodities)
• D-173's structural substitution: multiple chains → same output is already in the spec
• D-176 attaches productivity seeds to corporation×site pairs, not to commodities
• D-177's hard ceilings (Kvitfjell 800t/y, brach fiber herd, F8V stellar lock) live in corporation constraint data
• The 987% luxury margin B-S identified IS the brand premium, expressed through Specialist/Monopolist archetype pricing behavior in the corporate agent layer
• New luxury producers are added by creating a corp and assigning it a chain — zero commodity catalog changes

Three luxury production chains:

[luxury_from_agriculture]
output = "luxury_goods"
output_quantity = 1.0
inputs = [
    { commodity = "agricultural_produce", quantity = 2.0 },
    { commodity = "chemicals", quantity = 0.3 },
]
description = "Spirits, wines, premium food. Terroir/aging constraints per corporation."

[luxury_from_stone]
output = "luxury_goods"
output_quantity = 0.5
inputs = [
    { commodity = "stone", quantity = 3.0 },
]
description = "Decorative stone, luxury marble. Geological ceiling per corporation."

[luxury_from_textiles]
output = "luxury_goods"
output_quantity = 1.0
inputs = [
    { commodity = "textiles", quantity = 1.5 },
    { commodity = "organic_compounds", quantity = 0.5 },
]
description = "Premium garments, technical craft goods. Fiber supply ceiling per corp."

Each chain has independent failure modes: a rare minerals shortage doesn't touch luxury goods. A timber shortage doesn't affect wine production. The scarcity cascades are input-specific, and the corporation layer maps which corps operate which chains where.

---

2. Unified TOML Schema

Updated field set

I'm merging the best from all four proposals. My Round 1 had 8 fields. The converged schema has 12. Each addition creates distinct simulation behavior.

From B-S (new):

• production_ubiquity — guides generate_corporations in distributing production across the map. Without it, the initialization binary has no guidance on geographic spread. 5 tiers from B-S: ubiquitous → monopolistic.
• demand_model — determines tâtonnement behavior: market (standard), utility (population-driven floor, never hits zero), compliance (regulation-driven, tracks Commission presence). This is what makes water/fuel behave differently from consumer goods under the same supply shock.

From Gestalt (replaces my political_sensitivity boolean):

• commission_certified — requires Commission certification for formal sale. The cost of certification IS the shadow economy incentive.
• compact_contested — Compact officially contests Commission authority. Creates the political friction.
• shadow_viable — shadow market routinely exists. Flags where the shadow economy bites.

Three booleans instead of one gives the sim three independent political signals per commodity. A commodity can be Commission-certified but NOT Compact-contested (e.g., food safety certification — everyone accepts it). Or Compact-contested but NOT shadow-viable (e.g., vehicle registration — contested in principle, but impractical to shadow-market a starship).

Retained from my Round 1 (no change):

• tier, elasticity, base_price, unit, description

Refined from my Round 1:

• bulk_class — expanded from 4 to 7 values, incorporating B-S's transport cost analysis and Gestalt's oversized/perishable insights

Complete TOML record format

# wiki/economics/commodities.toml
#
# Source of truth for the simulation's commodity vocabulary.
# Compiled to systems.db via `make economy-db`.
#
# Fields:
#   name                    — display name (Title Case)
#   tier                    — raw | intermediate | final | service_professional | service_luxury
#   elasticity              — perfectly_inelastic | inelastic | unit_elastic | elastic | highly_elastic
#   base_price              — equilibrium price in Tractus (float, must be > 0)
#   bulk_class              — bulk | liquid | standard | compact | precision | oversized | non_physical
#   unit                    — tonnes | units | contracts
#   production_ubiquity     — ubiquitous | common | regional | concentrated | monopolistic
#   demand_model            — market | utility | compliance
#   commission_certified    — bool; requires Commission certification for formal sale
#   compact_contested       — bool; Compact contests Commission authority over this
#   shadow_viable           — bool; shadow market routinely exists for this commodity
#   description             — optional flavor text (for wiki/UI, not consumed by sim)

Updated bulk_class (7 values)

Class	Transport multiplier	Rationale
bulk	1.2x	Heavy, low-value-density. Ore, stone, timber, agricultural produce
liquid	1.3x	Requires containment. Water, chemical feedstock, fusion fuel
standard	1.0x	Normal cargo. Refined metals, panels, processed food, textiles
compact	0.8x	High-value, low-mass. Electronics, consumer goods, drive cores
precision	0.6x	Very high value, special handling. Rare minerals, implant hardware, luxury goods
oversized	2.0x+	Physically awkward, partial assembly. Heavy equipment, vehicles, habitat modules
non_physical	∞	Cannot traverse gates. All services

B-S's transport cost analysis (section 5 of his Round 1) shows these multipliers produce 3:1–4:1 ratios for bulk goods and 1.5:1–2:1 for precision goods across the Reach diameter. This is the right range for meaningful geographic specialization without absurd price extremes.

Gestalt's oversized class is the key addition: heavy equipment, vehicles, freight haulers, and habitat modules at 2.0x+ creates durable manufacturing hub economics. You can't arbitrage away Stalownia's advantage by shipping finished rigs — the transport cost is too high. This is what makes manufacturing centers structural rather than transient.

Elasticity labels (5 values)

Label	ε range	Behavior	Examples
perfectly_inelastic	0.0–0.1	Price absorbs all adjustment. Dramatic spikes	water (on stations), fusion_fuel, medical_services
inelastic	0.2–0.4	Modest demand reduction, significant price effect	agricultural_produce, processed_food, chemicals, legal_services, financial_services
unit_elastic	0.8–1.2	Proportional adjustment	metallic_ore, structural_panels, electronics, consumer_goods, habitat_modules
elastic	1.5–2.5	Buyers defer/substitute	heavy_equipment, vehicles, freight_haulers, entertainment, drive_cores
highly_elastic	3.0+	Market collapses to essential buyers	luxury_goods, gate_components, implant_hardware, tourism

B-S's panic mechanism (stockpile-target hoarding) is a sim-runtime behavior, not a commodity property. The sim derives it from elasticity + stockpile thresholds. This keeps the TOML clean and the panic behavior configurable without re-authoring commodity data.

---

3. Unified Commodity List

Raw Materials (8)

D-173 said ~7. The 8th (chemical_feedstock) serves distinct chains from organic_compounds — geological/gas extraction vs. biosphere harvesting. They are not substitutable.

ID	Name	Bulk	Ubiquity	Demand	Elasticity	Base (T)	Commission	Compact	Shadow
metallic_ore	Metallic Ore	bulk	common	market	unit_elastic	10	no	no	no
rare_minerals	Rare Minerals	precision	concentrated	market	unit_elastic	80	no	no	partial
timber	Timber/Biomass	bulk	regional	market	unit_elastic	15	no	no	no
agricultural_produce	Agricultural Produce	bulk	ubiquitous	utility	inelastic	5	partial	no	no
water	Water/Volatiles	liquid	ubiquitous	utility	perfectly_inelastic	2	no	no	no
organic_compounds	Organic Compounds	standard	regional	market	unit_elastic	35	no	no	no
stone	Stone/Aggregate	bulk	common	market	unit_elastic	8	no	no	no
chemical_feedstock	Chemical Feedstock	liquid	common	market	unit_elastic	12	yes (hazmat)	yes	yes

Notes:

• water is raw. fusion_fuel is intermediate — directive (c).
• rare_minerals subsumes Gestalt's "lattice-grade material" and Miri's "precision-grade minerals" at the abstract level. The lore texture (east_reach lattice substrates, exotic crystals) lives in corporation data.
• chemical_feedstock is Commission-certified (hazmat) and Compact-contested (Compact views hazmat certification as tariff by another name — Gestalt's analysis, section 4).
• agricultural_produce has demand_model = utility because populations need food regardless of economic conditions (B-S's point about demand floors).

Intermediate Goods (9)

D-173 said ~8. The 9th (fusion_fuel) is mandated by directive (c).

ID	Name	Bulk	Ubiquity	Demand	Elasticity	Base (T)	Commission	Compact	Shadow
refined_metals	Refined Metals	standard	common	market	inelastic	30	no	no	no
advanced_alloys	Advanced Alloys	standard	regional	market	unit_elastic	100	no	no	no
fusion_fuel	Fusion Fuel	liquid	common	utility	perfectly_inelastic	20	yes (safety)	yes	yes
processed_food	Processed Food	standard	ubiquitous	utility	inelastic	15	partial	no	no
electronics	Electronics/Components	compact	regional	market	unit_elastic	120	no	no	no
chemicals	Chemicals/Pharmaceuticals	standard	regional	market	inelastic	60	yes	yes	yes
textiles	Textiles/Composites	standard	regional	market	unit_elastic	50	no	no	no
structural_panels	Structural Panels	standard	regional	market	unit_elastic	45	no	no	no
drive_cores	Drive Cores	compact	concentrated	market	elastic	200	no	no	no

Notes:

• fusion_fuel from water with low yield per directive (c). demand_model = utility because every station needs continuous power. Commission-certified (fissile safety), Compact-contested (energy independence is a Compact political project — Gestalt section 4), shadow-viable (frontier fuel without certification).
• chemicals is Commission-certified, Compact-contested, shadow-viable — same pattern as chemical_feedstock. The certification chain cascades.

Final Goods (8)

D-173 said ~7. The 8th (freight_haulers) has a different demand function from vehicles — B-S's argument that freight hauler demand = f(trade_volume, fleet_age) while vehicle demand = f(population, wealth) is compelling. They respond to different economic signals.

ID	Name	Bulk	Ubiquity	Demand	Elasticity	Base (T)	Commission	Compact	Shadow
heavy_equipment	Heavy Equipment	oversized	regional	market	elastic	250	no	no	no
vehicles	Vehicles/Craft	oversized	regional	market	elastic	350	yes (safety)	partial	partial
freight_haulers	Freight Haulers	oversized	concentrated	market	elastic	300	yes (safety)	partial	partial
consumer_goods	Consumer Goods	compact	ubiquitous	market	unit_elastic	80	no	no	partial
luxury_goods	Luxury Goods	precision	monopolistic	market	highly_elastic	500	partial	no	yes
implant_hardware	Implant Hardware	precision	concentrated	market	highly_elastic	400	yes (medical)	HIGH	HIGH
gate_components	Gate Components	oversized	monopolistic	market	highly_elastic	800	yes (strategic)	extreme	high
habitat_modules	Habitat Modules	oversized	regional	market	unit_elastic	150	no	no	no

Notes:

• luxury_goods at production_ubiquity = monopolistic because premium luxury production is location-locked (terroir, geological ceilings). Generic luxury goods might be produced more widely, but the high-margin stuff is rare. Multiple production chains handle the variety (section 1).
• implant_hardware is THE political flashpoint — Commission certification + Compact rejection. D-037 canonical contraband territory. Both compact_contested and shadow_viable are maximally true.
• gate_components is the Commission's ultimate leverage tool. Monopoly pricing (Gate Corp) + Commission certification = maximum structural extraction. Gestalt nailed this in section 4.
• freight_haulers with demand_model = market but demand function driven by trade volume (the sim derives this from trade flow signals, not population). B-S's separation from vehicles is correct.

Professional Services (7)

D-173 said ~5. Directive (e): more is richer.

ID	Name	Ubiquity	Demand	Elasticity	Base (T)	Commission	Compact	Shadow
legal_services	Legal Services	common	compliance	inelastic	100	yes	partial	partial
financial_services	Financial Services	common	market	inelastic	120	no	no	no
medical_services	Medical/Re-embodiment	regional	utility	perfectly_inelastic	200	yes (medical)	partial	HIGH
insurance	Insurance/Risk	regional	market	unit_elastic	75	no	no	no
information_brokerage	Information Brokerage	regional	market	unit_elastic	50	no	no	partial
commission_certification	Commission Certification	concentrated	compliance	inelastic	100	inherent	extreme	N/A
habitation	Habitation/Berths	common	utility	inelastic	40	no	no	no

Notes:

• information_brokerage consolidates "intelligence" and "information brokerage" per directive (d). Adams & Ford, Ferreira Monteiro, Mercado all provide intelligence products through this service. One service, multiple corporate providers.
• commission_certification is separate from legal_services per Miri's argument: the Commission's own regulatory process is the mechanism that creates the shadow economy. Its cost, availability, and Tractus-denomination is what makes the Compact's alternative economy rational. This is the most politically charged "commodity" in the simulation.
• habitation covers Gestalt's "rent" verb from D-131 and creates station-capacity pressure. A booming node runs out of berths → caps service growth → creates real estate price signal → forces expansion or migration. Mechanically important.
• medical_services subsumes Miri's separate "re-embodiment" service. Re-embodiment is the premium tier within medical services, not a separate service. The corporation providing it (Prometheus-adjacent) determines whether re-embodiment is available at a given node.
• Logistics management dropped per Gestalt: redundant with transport cost model.

Luxury/Experiential Services (3)

ID	Name	Ubiquity	Demand	Elasticity	Base (T)	Commission	Compact	Shadow
tourism	Tourism	concentrated	market	highly_elastic	100	no	no	no
entertainment	Entertainment/Holo-content	common	market	elastic	30	no	no	no
hospitality	Fine Dining/Hospitality	regional	market	elastic	60	no	no	no

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4. Complete Production Chain Set

Raw → Intermediate

Chain ID	Output	Inputs	Notes
smelt_ore	refined_metals (1.0)	metallic_ore (2.0)	High volume, simple processing
alloy_fabrication	advanced_alloys (1.0)	metallic_ore (1.5), rare_minerals (0.3)	Rare minerals are bottleneck
fuel_refining	fusion_fuel (1.0)	water (5.0)	Low yield — directive (c). 5:1 ratio makes fuel expensive despite cheap input
food_processing	processed_food (1.0)	agricultural_produce (1.5), water (0.2)	Ubiquitous, low margin
electronics_fabrication	electronics (1.0)	rare_minerals (0.5), refined_metals (0.3)	Rare minerals are scarcity driver
chemical_processing	chemicals (1.0)	chemical_feedstock (1.0), water (0.3)	Industrial chemistry
chemical_from_organics	chemicals (0.8)	organic_compounds (1.0), water (0.3)	Substitution route: biochem path to same output, lower yield
textile_production	textiles (1.0)	organic_compounds (0.8), chemicals (0.2)	Includes brach fiber processing pathway
panel_milling	structural_panels (1.0)	timber (1.0), refined_metals (0.5)	Timber-dependent — forest world proximity matters
drive_core_assembly	drive_cores (1.0)	rare_minerals (0.4), advanced_alloys (0.8)	Double rare_minerals dependency (direct + via alloys)

Intermediate → Final

Chain ID	Output	Inputs	Notes
heavy_equipment_assembly	heavy_equipment (1.0)	refined_metals (1.0), electronics (0.3), drive_cores (0.2)	Stalownia's recipe
vehicle_manufacturing	vehicles (1.0)	advanced_alloys (0.8), electronics (0.3), drive_cores (0.3)	MVG uses alloys, not base metal
freight_hauler_construction	freight_haulers (1.0)	refined_metals (1.5), drive_cores (0.5), electronics (0.3)	Metal and drive-core intensive
consumer_goods_assembly	consumer_goods (1.0)	processed_food (0.3), textiles (0.3), electronics (0.2)	Broad input mix — diversified
luxury_from_agriculture	luxury_goods (1.0)	agricultural_produce (2.0), chemicals (0.3)	Spirits, wines, premium food. Aging/terroir per corp
luxury_from_stone	luxury_goods (0.5)	stone (3.0)	Decorative stone, marble. Geological ceiling per corp
luxury_from_textiles	luxury_goods (1.0)	textiles (1.5), organic_compounds (0.5)	Premium garments, craft goods. Fiber ceiling per corp
implant_fabrication	implant_hardware (1.0)	electronics (0.5), chemicals (0.3), advanced_alloys (0.2)	Electronics-dependent — rare mineral cascade
gate_component_assembly	gate_components (1.0)	advanced_alloys (1.0), drive_cores (0.5), electronics (0.4)	Most input-intensive final. Triple rare_minerals dependency
habitat_module_assembly	habitat_modules (1.0)	structural_panels (1.5), electronics (0.4), chemicals (0.3)	Panel-heavy — timber scarcity cascades here

Substitution Routes (structural, per D-173)

Two substitution routes in the intermediate tier:

1. chemicals: two recipes (chemical_processing from chemical_feedstock, chemical_from_organics from organic_compounds). Different yields, same output. A node near biosphere worlds uses the organic path; a node near gas extraction uses the chemical path. Both produce chemicals.
2. luxury_goods: three recipes from different raw inputs (agriculture, stone, textiles). Each has independent failure modes and geographic anchors.

Scarcity Cascade Analysis (from B-S, validated)

B-S's cascade analysis holds with the unified list. The critical cascades:

Raw shortage	Direct impact	Downstream	Severity
rare_minerals	electronics ↓, advanced_alloys ↓, drive_cores ↓	implant_hardware ↓↓, gate_components ↓↓↓, vehicles ↓↓	CRITICAL — entire high-tech sector
metallic_ore	refined_metals ↓, advanced_alloys ↓	heavy_equipment ↓↓, freight_haulers ↓↓, habitat_modules ↓	Construction + heavy industry halt
water	fusion_fuel ↓↓, processed_food ↓, chemicals ↓	Nearly everything downstream	CRITICAL — water is the hidden universal dependency
timber	structural_panels ↓	habitat_modules ↓↓	Narrow but politically explosive (no new stations)
organic_compounds	textiles ↓, chemicals (partial) ↓	luxury_goods ↓, consumer_goods ↓	Quality of life degradation
agricultural_produce	processed_food ↓, luxury_goods ↓	consumer_goods ↓	Short chain but inelastic — massive price effect

New cascade from directive (c): water → fusion_fuel. Every system needs fuel. The 5:1 yield ratio means a water disruption creates a 5x amplified fuel shortage. Water-poor stations far from ice sources have permanently elevated operating costs AND energy costs. This is a structural double-whammy that creates real geographic disadvantage for bare-rock frontier stations. Elegant.

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5. Service Demand Model (Gestalt integration)

Services don't participate in production chains (D-173). They are demand sinks on the physical commodity chain. Gestalt's goods-demand multiplier model (section 5 of his Round 1) is the right approach:

Service	Goods consumed	Mechanism
legal_services	fusion_fuel (office power)	Tractus velocity (fees accelerate currency circulation)
financial_services	—	Tractus velocity; affects cross-zone trade friction
medical_services	chemicals, electronics	Hospital/clinic consumables
insurance	—	Affects trade volume through risk pricing
information_brokerage	—	Affects signal visibility (improves official_coverage_ratio)
commission_certification	—	Tractus sink (certification fees); inverse of shadow economy
habitation	consumer_goods, fusion_fuel	Station life support and amenities
tourism	luxury_goods, consumer_goods	Destination consumption
entertainment	electronics (production hardware), fusion_fuel	Content creation infrastructure
hospitality	agricultural_produce, processed_food	Kitchen/restaurant inputs

This means a high-tourism node pulls increased luxury goods demand. A high-medical-services node increases chemicals demand. These are emergence-generating interactions without explicit service transaction modeling. The service's throughput seed (D-176) determines volume; the goods-demand multiplier creates the supply chain link.

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6. Updated SQL Schema (for #804)

CREATE TABLE commodities (
    commodity_id TEXT PRIMARY KEY,
    name TEXT NOT NULL,
    tier TEXT NOT NULL CHECK(tier IN (
        'raw', 'intermediate', 'final',
        'service_professional', 'service_luxury'
    )),
    elasticity TEXT NOT NULL CHECK(elasticity IN (
        'perfectly_inelastic', 'inelastic', 'unit_elastic',
        'elastic', 'highly_elastic'
    )),
    base_price REAL NOT NULL CHECK(base_price > 0),
    bulk_class TEXT NOT NULL CHECK(bulk_class IN (
        'bulk', 'liquid', 'standard', 'compact',
        'precision', 'oversized', 'non_physical'
    )),
    unit TEXT NOT NULL CHECK(unit IN ('tonnes', 'units', 'contracts')),
    production_ubiquity TEXT NOT NULL CHECK(production_ubiquity IN (
        'ubiquitous', 'common', 'regional',
        'concentrated', 'monopolistic'
    )),
    demand_model TEXT NOT NULL CHECK(demand_model IN (
        'market', 'utility', 'compliance'
    )),
    commission_certified INTEGER NOT NULL DEFAULT 0,
    compact_contested INTEGER NOT NULL DEFAULT 0,
    shadow_viable INTEGER NOT NULL DEFAULT 0,
    description TEXT
);

CREATE TABLE production_chains (
    chain_id TEXT PRIMARY KEY,
    output_commodity TEXT NOT NULL REFERENCES commodities(commodity_id),
    output_quantity REAL NOT NULL DEFAULT 1.0 CHECK(output_quantity > 0),
    location_bound INTEGER NOT NULL DEFAULT 0,
    description TEXT
);

CREATE TABLE chain_inputs (
    chain_id TEXT NOT NULL REFERENCES production_chains(chain_id) ON DELETE CASCADE,
    commodity_id TEXT NOT NULL REFERENCES commodities(commodity_id),
    quantity REAL NOT NULL CHECK(quantity > 0),
    PRIMARY KEY (chain_id, commodity_id)
);

CREATE INDEX idx_commodities_tier ON commodities(tier);
CREATE INDEX idx_commodities_ubiquity ON commodities(production_ubiquity);
CREATE INDEX idx_chains_output ON production_chains(output_commodity);
CREATE INDEX idx_chain_inputs_commodity ON chain_inputs(commodity_id);

12 fields per commodity. 1:1 TOML→DB mapping. No computed columns.

---

7. Updated Validation Rules

All Round 1 rules remain. Additions for new fields:

New hard failures

Rule	Rationale
All production_ubiquity values must match enum	Typo protection
All demand_model values must match enum	Typo protection
All bulk_class values must match enum (7 values now)	Expanded from 4
Services must have bulk_class = "non_physical"	Services can't be transported
demand_model = "utility" commodities must have elasticity ∈ {perfectly_inelastic, inelastic}	Utility goods can't be highly elastic — people need them
demand_model = "compliance" commodities must have commission_certified = true	Compliance demand requires a certifying authority
fusion_fuel must appear as an intermediate, not raw	Directive (c) constraint

New soft warnings

Rule	Rationale
Commodities with shadow_viable = true SHOULD have commission_certified = true OR compact_contested = true	Shadow markets arise from regulatory friction — if there's no friction, why shadow?
production_ubiquity = "monopolistic" commodities SHOULD have elasticity ∈ {elastic, highly_elastic}	Monopolistic supply + inelastic demand = runaway prices with no equilibrium

---

8. Complete Example TOML Records

Raw material example

[water]
name = "Water/Volatiles"
tier = "raw"
elasticity = "perfectly_inelastic"
base_price = 2.0
bulk_class = "liquid"
unit = "tonnes"
production_ubiquity = "ubiquitous"
demand_model = "utility"
commission_certified = false
compact_contested = false
shadow_viable = false
description = "Water ice, atmospheric gases. Life support critical. Fusion fuel feedstock."

Intermediate example (directive c — the new water→fuel chain)

[fusion_fuel]
name = "Fusion Fuel"
tier = "intermediate"
elasticity = "perfectly_inelastic"
base_price = 20.0
bulk_class = "liquid"
unit = "tonnes"
production_ubiquity = "common"
demand_model = "utility"
commission_certified = true
compact_contested = true
shadow_viable = true
description = "Deuterium/tritium refined from water. Low yield. Continuous consumption."

Final good example (the politically charged one)

[implant_hardware]
name = "Implant Hardware"
tier = "final"
elasticity = "highly_elastic"
base_price = 400.0
bulk_class = "precision"
unit = "units"
production_ubiquity = "concentrated"
demand_model = "market"
commission_certified = true
compact_contested = true
shadow_viable = true
description = "Neural interfaces, lattice components. Commission-certified. THE Compact flashpoint."

Production chain example (with substitution)

[chemical_processing]
output = "chemicals"
output_quantity = 1.0
inputs = [
    { commodity = "chemical_feedstock", quantity = 1.0 },
    { commodity = "water", quantity = 0.3 },
]
description = "Industrial chemistry from geological/gas feedstock."

[chemical_from_organics]
output = "chemicals"
output_quantity = 0.8
inputs = [
    { commodity = "organic_compounds", quantity = 1.0 },
    { commodity = "water", quantity = 0.3 },
]
description = "Biochemical processing. Lower yield, different source. Substitution route."

Service example

[commission_certification]
name = "Commission Certification"
tier = "service_professional"
elasticity = "inelastic"
base_price = 100.0
bulk_class = "non_physical"
unit = "contracts"
production_ubiquity = "concentrated"
demand_model = "compliance"
commission_certified = true
compact_contested = true
shadow_viable = false
description = "Commission regulatory certification. Tractus-denominated. Availability inverse to shadow economy."

(Shadow-viable is false for certification itself — you can't shadow-market the Commission's own stamp. You shadow-market the GOODS that skip certification.)

---

9. Totals and Delta from D-173

Category	D-173 target	This proposal	Delta	Justification
Raw materials	~7	8	+1	chemical_feedstock distinct from organic_compounds
Intermediate goods	~8	9	+1	fusion_fuel per directive (c)
Final goods	~7	8	+1	freight_haulers per B-S demand function analysis
Professional services	~5	7	+2	commission_certification (shadow economy mechanism), habitation (rent verb)
Luxury services	~3	3	0	—
Total	~30	35	+5	Each addition creates distinct simulation behavior

D-173 said "approximately 30." Five additions, each with a clear mechanical justification. None are brand-level splits (directive a). None are gratuitous duplication (directive d). The count follows from what the civilization needs (task framing).

---

10. Difficulty Assessment (unchanged)

• TOML schema: Tier 1 (straightforward). More fields per record, same flat structure.
• Build step: Tier 2 (moderate). ~250 lines now (was ~200), extra validation for new fields.
• Schema alignment: Tier 1 (straightforward). 12-column table, direct mapping.
• Validation rules: Tier 2 (moderate). Cross-field consistency checks added.

Total: feasible, well-bounded. The risk remains content completeness, not technical complexity.

---

11. Open Questions for the Team

1. B-S: Is the 5:1 water→fuel yield ratio right for the economic dynamics you want? Lower ratio = fuel cheaper, less geographic pressure. Higher ratio = more frontier economic stress.

2. Gestalt: The service goods-demand multipliers (section 5) — should these be authored in a TOML file, or hardcoded in the sim? If TOML, we need a service_demand.toml schema alongside commodities and chains.

3. Miri: The description field — placeholder quality for now, or should Mellanie do a pass before the TOML ships? (This is orthogonal to the schema question but affects the authoring timeline.)

4. All: Is 35 commodities the right count, or should any of my 5 additions be collapsed? I can defend all five, but I'm not attached to chemical_feedstock if it truly collapses into organic_compounds.