LAKA Core Grammar

1. The four-layer engine

Layer A — Change states

These are not maturity grades. A C4 idea is not automatically better than a C1 intervention. Selection depends on evidence, fit, urgency, reversibility, capacity, and time-to-useful-evidence.

Layer B — Internal system variables

The standard structural matrix is 10 variables × 5 change states = 50 cells.

Layer C — Fourteen change variables

For every critical feature, opportunity, or risk: evaluate all fourteen variables; record N/A with a reason; and test baseline, boundary, contradiction, and failure states.

Layer D — 6×6×6 expansion and execution lens

Interrogatives

Who | What | When | Where | Why | How

Relational modifiers

Direction | Scope | Depth | Duration | Frequency | Reversibility

Execution impact

The query engine can form 6 × 6 × 6 = 216 first-order lenses. In passive research, most valid collection actions remain I1–I2. I3 is used for the audit artifact; I4 only for specifically approved CRM/outreach actions; I5–I6 are not prospecting tools.

2. Operators

3. Primitive record grammar

Audit          = ScopeContract, Target, { ResearchModule }, EvidenceLedger,
                 OpportunityPortfolio, Report, QualityReview ;

Target         = Organization, [ Executive ], Industry, Geography, TimeWindow ;

ResearchModule = Question, SourcePlan, { EvidenceRecord }, { Claim },
                 LakaAnalysis, [ FinancialModel ], Limitations ;

EvidenceRecord = SourceID, SourceType, CanonicalURL, Publisher,
                 PublishedAt, RetrievedAt, Extract, ContentFingerprint,
                 CollectionMethod, AccessClass, EvidenceState ;

Claim          = ClaimID, Subject, Predicate, Object, TimeQualifier,
                 ClaimState, { EvidenceLink }, Confidence, Contradictions,
                 ReviewStatus ;

LakaAnalysis   = ChangeState, InternalVariable, { ChangeVariable },
                 Interrogative, RelationalModifier, ImpactState ;

Opportunity    = Observation, Counterfactual, Mechanism, Beneficiary,
                 Intervention, ValueRange, Assumptions, Risks,
                 ReversibleTest, StopRule ;

Outreach       = PublicBusinessContext, OneFinding, BusinessEffect,
                 CredibilityBoundary, UsefulOffer, PermissionCTA ;

4. Canonical intelligence sentences

Observation

[O] As of {retrieval time}, {source} shows {inspectable fact} within {scope/time window}. @source

Calculation

[C] Using {cited inputs} and {formula}, the result is {value/range}; rounding and exclusions: {notes}. @inputs

Inference

[I] {Evidence set} is consistent with {explanation}, but {alternative explanations} remain plausible.

Hypothesis and test

[H] If {mechanism} is material, then {small reversible change} should move {leading metric}
from {baseline} toward {threshold} within {window}; stop if {guardrail}.

Financial scenario

[C][SCENARIO] At {low/base/high inputs}, {formula} yields {range}. This is a calculated scenario, not reported revenue or guaranteed ROI.

Outreach-safe finding

I noticed {public business fact}. It may be creating {bounded business effect}; I have not seen your internal data.
I mapped a {small next step} that would confirm or reject it within {time/evidence threshold}.

5. Fifty-cell structural matrix

For each row, describe the state rather than simply listing an idea.

6. Alternative-generation grammar

For each material symptom, generate at least one option from each intervention family:

Observe only
Measure better
Clarify/communicate
Tune/configure
Remove friction
Automate
Reallocate
Redesign process
Redesign offer/pricing
Redesign architecture/governance
Partner/buy/build
Create new unit of value
Stop/retire
Defer with trigger

Cross each family with:

Target stakeholder × journey stage × channel × time horizon × ownership × reversibility

Then deduplicate alternatives that share the same mechanism and outcome. Preserve discarded options and the elimination reason.

7. Selection grammar

Eligible(option) = lawful
                 ∧ evidence-sufficient-for-next-step
                 ∧ service-fit
                 ∧ capacity-fit
                 ∧ risk-within-tolerance

Priority(option) = ExpectedValue
                 × Confidence
                 × StrategicFit
                 × Reversibility
                 × TimeToEvidenceFactor
                 ÷ ((1 + CostFactor)
                    × (1 + RiskFactor)
                    × (1 + DependencyLoad))

Use ordinal factors normalized from 0 to 1, or use the weighted model in 11-scoring-prioritization.md. The additive constants prevent division by zero. Do not pretend the expression is a precise economic equation. A C1 test can outrank a C4 transformation.

8. Coverage grammar

Applicable cells = Required cells − reasoned N/A cells
Coverage = completed applicable cells / applicable cells
Evidence coverage = claims with evidence / material claims
Contradiction coverage = material claims actively checked for disconfirming evidence / material claims

Do not count a blank as N/A. A reason is mandatory. Do not average away a failed security, privacy, evidence, or legal gate.

9. Change-memory grammar

Every monitoring event uses:

entity: ""
property: ""
prior_state: ""
current_state: ""
delta: ""
first_seen: ""
last_confirmed: ""
source_ids: []
change_variables:
  magnitude: ""
  rate: ""
  direction: ""
  scope: ""
  depth: ""
  duration: ""
  frequency: ""
  acceleration: ""
  variability: ""
  detectability: ""
  reversibility: ""
  propagation: ""
  amplification: ""
  accumulation: ""
confidence: ""

The engine stores change as a first-class record. It does not silently overwrite prior observations.

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01-laka-core-grammar.md · 277 lines · 12738 bytes · SHA-256 cde4eccc9f7f8744