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LAKA Volumetric Intelligence System

Version 1.0 — research baseline: 2026-09-01

This library turns public company intelligence into evidence-backed commercial insight and respectful executive outreach. It combines passive OSINT, PR and brand intelligence, marketing-demand analysis, micro- and macroeconomics, competitor benchmarking, financial scenario modeling, and CRM-ready lead records.

It is a grammar and operating system, not a single giant prompt. Every output must preserve the chain:

source → observation → claim state → confidence → mechanism → financial range → service fit → smallest useful next step

What makes it volumetric

The system combines four LAKA layers:

  1. Five change states: Baseline, Minor Change, Major Change, Structural Change, Paradigm Change.
  2. Ten internal variables: Object, Conditions, Actions, Tools, Resources, Outcomes, Feedback, Constraints, Value, Failure Mode.
  3. Fourteen change variables: Magnitude, Rate, Direction, Scope, Depth, Duration, Frequency, Acceleration, Variability, Detectability, Reversibility, Propagation, Amplification, Accumulation.
  4. A 6×6×6 expansion lens: Who/What/When/Where/Why/How × Direction/Scope/Depth/Duration/Frequency/Reversibility × six execution-impact states.

The result is broad coverage without pretending that every possible web page, tool, or future data source can be enumerated. The core is finite; the registry is expandable.

Start here

readme.start-here.t1
NeedRead
Understand the system00-system-charter.md
Learn the LAKA grammar01-laka-core-grammar.md
Build or parse investigation instructions02-investigation-grammar.md
Enforce evidence quality03-evidence-provenance-standard.md
Run the nine-phase audit04-nine-phase-playbook.md
Choose tools05 through 09 tool-library files
Generate safe search paths10-query-pattern-library.md
Rank findings11-scoring-prioritization.md
Calculate dollar ranges12-financial-impact-models.md
Benchmark competitors13-competitor-sov-benchmark.md
Create immediate-authority outreach14-executive-authority-outreach.md
Export leads safely15-crm-schema-export.md
Build the application16-solution-architecture.md and 17-automation-workflows.md
Apply legal and ethical controls18-legal-ethical-safety.md
Run agents and produce a report19-agent-prompts.md and 20-audit-report-template.md
Test completeness21-quality-control-tests.md

Five-step quick start

  1. Fill the intake in 20-audit-report-template.md: target, executive, domain, industry, region/jurisdictions, offered services, dates, and currency.
  2. Select an engagement mode from 00-system-charter.md and an expansion profile from 10-query-pattern-library.md.
  3. Run the Coordinator in 19-agent-prompts.md; route the phase prompts and preserve the shared evidence/claim/model registries.
  4. Assemble only reviewed outputs in 20-audit-report-template.md; leave unknowns blank or mark [U], and use not estimable when financial inputs are missing.
  5. Run every applicable gate in 21-quality-control-tests.md, obtain human release approval, and only then consider a separately authorized CRM or outreach action.

The tool catalogs were verified at the library research baseline. Before production, create version-pinned registry entries for every selected repository, model, API, hosted tier, and source—recording commit/release, terms version, quota, commercial-use decision, and verification date.

Mandatory operating rules

  • Passive public-source research is the default. No login bypass, exploitation, credential collection, intrusive scanning, pretexting, or contact-data guessing.
  • A source is not a finding. Preserve its URL, publication/observation time, retrieval time, excerpt or structured fact, and content hash where practical.
  • Keep Observed, Calculated, Inferred, Hypothesized, Unknown, and Contradicted separate.
  • Never present an inferred security weakness, executive motive, revenue figure, sentiment percentage, or causal effect as observed fact.
  • Dollar values are low/base/high scenarios with visible formulas and inputs. If inputs are unavailable, say not estimable and list the missing inputs.
  • Respect robots.txt, source terms, API limits, privacy law, retention limits, and opt-outs. Public visibility does not automatically authorize collection or marketing use.
  • Outreach uses business-relevant findings. It excludes family, home, health, protected traits, private routines, leaked credentials, and other sensitive personal details.
  • The system may suggest a likely corporate email pattern, but the CRM must distinguish published, verified, pattern-only, and unknown. Never claim a guessed address is verified.
  • Human review gates all high-impact claims, security findings, named-person profiles, financial estimates, and outbound messages.

Completion definition

An audit is complete only when:

  • every required nine-phase module is complete or carries a reasoned N/A/Unknown;
  • all material findings are supported by evidence records;
  • every critical feature or risk is checked against all fourteen change variables, with non-applicable variables explained;
  • baseline, boundary, contradiction, and failure states have been tested;
  • financial ranges reconcile and do not double count;
  • competitor comparisons use like-for-like time windows and measures;
  • personal and outreach data passes privacy, relevance, and consent/legitimate-use review;
  • the executive brief states limitations and missing evidence.

Output bundle

The primary outputs are:

  • an executive briefing;
  • a source and claim ledger;
  • marketing, PR, technical, economic, and competitor findings;
  • a financial-impact matrix;
  • a ranked opportunity portfolio;
  • a C-suite outreach blueprint;
  • a sanitized CRM import table;
  • a research backlog describing what would change the conclusions.

This library is strategic and technical guidance, not legal, investment, or penetration-testing advice.


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