A complete REA (Resources-Events-Agents) attribution of all work performed in March 2026. This report maps how effort, intellectual property, and deliverables flow between entities across the ShurIQ ecosystem.
Every client engagement generates dual value — direct deliverables AND compounding knowledge graph IP that makes future engagements faster and richer. The SBPI ontology built for MicroCo transferred to K-Pop at zero marginal cost. The combined-v1 writing rules developed in the Fiserv BI Report Lab now govern all report generation. March 2026 was the month the compounding thesis became operationally provable.
REA value flow decomposition for each client engagement. For each, we map resources consumed, resources produced, value created for the client, value created for ShurIQ, and cross-pollination effects.
Real-time competitive intelligence infrastructure. Prediction market concept for editorial decisions. Semantic data layer enabling cross-domain queries. First nightly automation pipeline delivering competitive reports without manual intervention.
SBPI methodology proven at scale. Cross-vertical transfer validated (K-Pop). First complete OWL 2 ontology with SHACL validation. Autoresearch framework reusable across any domain requiring academic-to-commercial intelligence bridging.
SBPI methodology directly transferred to K-Pop vertical at zero marginal cost. DeltaBet prediction market concept applicable to any vertical with quantifiable positioning data. Autoresearch framework reusable for any client requiring evidence-based strategy.
Comprehensive brand intelligence revealing competitive positioning gaps. Naming candidates vetted through political sanitization for internal palatability. Actionable competitive landscape with specific strategic recommendations for Prosperity Index and Stone Castle integration.
BI Report Lab methodology refined through 5-branch experimentation. Combined-v1 synthesis rules established as standard writing protocol. Political sanitization pattern documented and reusable. First Brand Power Score methodology application.
Combined-v1 writing rules now applied to all report generation across all clients. Political sanitization patterns reusable for any enterprise client with internal sensitivity requirements. Brand Power Score methodology transferable to any vertical.
Layered business model analysis revealing 4 critical chain breaks in value delivery. Actionable budget priorities with cost-impact mapping. Visual BMC overlay connecting strategy to operations.
Layered Ontology Architecture (K1-K5 knowledge layers, O1-O4 operational layers) now a reusable framework for any client engagement. First complete instance of REA value flow mapping applied to a real business. BMC overlay pattern documented.
Architecture document serves all future ontology work. BMC overlay pattern reusable for any client requiring business model decomposition. Layered approach directly influences how SBPI ontologies are structured.
Strategic positioning clarity: "Good Housekeeping Seal" certification brand concept validated through gap analysis. ParentProof bridge analysis connecting existing product to market opportunity. Comprehensive competitive landscape for child safety content classification.
Feedback round methodology (systematic agent decision logging) documented and tested. BI Report Lab expanded from single-client to multi-client branching pattern.
Feedback round pattern now documented and reusable across all client engagements. BI Report Lab expanded to 3 clients (Fiserv, FrameBright, Deckers) validating the methodology at scale.
Stack ranking intelligence for K-Pop industry with TPE-weighted edge types measuring fan engagement, commercial performance, and cultural influence across agencies and artists.
Cross-vertical transfer PROVEN. The SBPI methodology transferred from media/entertainment (MicroCo) to K-Pop at zero marginal cost. Onboarding a new vertical now takes 2-3 days instead of weeks. This is the core thesis validation for ShurIQ as a scalable platform.
Validates the core ShurIQ thesis: knowledge graph IP compounds. Every ontology, every SHACL shape, every SPARQL query built for one vertical reduces the cost of the next vertical. The TPE-weighted edge type pattern is now available for any domain requiring multi-dimensional ranking.
Portfolio brand analysis across Deckers sub-brands with competitive positioning gaps identified for each brand line.
C-suite sales showcase material. Design iteration led to "hard truth" content blocks now used in subsequent reports.
Design patterns (hard truth blocks, direct-address framing) applied to all subsequent editorial deliverables.
Visualization iterations incorporating feedback. Multiple format options for internal and external presentation of health research intelligence.
First successful engagement cycle completion end-to-end. Established the two-site editorial pattern (editorial longform + viz hub) that became the standard delivery format.
Two-site editorial pattern established here is now the standard delivery format for all client engagements (FrameBright, Fiserv, Long Zhu, Deckers, K-Pop).
Front Row received initial competitive landscape analysis. AFDVI received revised intelligence brief with updated methodology.
Front Row intake validated the scoring threshold methodology. AFDVI revision tested iterative report improvement workflows.
Value generated for ShurIQ's own infrastructure, brand, and methodology. These investments reduce delivery cost and increase quality for all future client engagements.
Pitch deck v2 (evaluated by 3-agent team), executive summary, business model framework. Comprehensive fundraising package assembled from operational evidence rather than projections.
SHUR IQ Style Guide (17 rules covering voice, structure, and anti-slop enforcement). ShurIQ Explainer document. ShurIQ Followup analysis with post-call intelligence. Board explainer for SBPI methodology.
3 clients processed through versioned experimentation (5 branches each): condensed-hook, narrative-structure, honest-framing, anti-ai-voice, audience-mirror. Combined-v1 synthesis rules extracted from branch comparison.
5 retroactive invoices generated (INV-2026-0206 through INV-2026-0331). Template standardization with consistent formatting, payment terms, and API credit tracking.
Knowledge graph assets created in March 2026 that persist and compound in value. Each asset was built for a specific engagement but is designed for cross-vertical reuse.
| Asset | Type | Size | Created For | Reusable By |
|---|---|---|---|---|
| SBPI Ontology (sbpi.ttl) | OWL 2 | 12 classes, 22 properties | MicroCo | All verticals |
| K-Pop Ontology (kpop-sbpi.ttl) | OWL 2 | 8 classes, 10 edges | K-Pop | Entertainment verticals |
| AI Agent Ontology (ai-agent-sbpi.ttl) | OWL 2 | 1,672 companies | YC Research | Tech/startup verticals |
| SBPI SHACL Shapes | Validation | 7 shapes | MicroCo | All verticals |
| K-Pop SHACL Shapes | Validation | SHACL | K-Pop | Entertainment verticals |
| Layered Ontology Architecture | Framework | K1-K5, O1-O4 | Long Zhu | All client ontology work |
| SPARQL Query Library | Queries | 12 queries | SBPI | All RDF projects |
| Combined-v1 Rules | Writing Rules | 6 rules | Fiserv / BI Lab | All report generation |
| InfraNodus Graphs (20+) | Knowledge Graphs | 1,000+ nodes | Multiple | Cross-client analysis |
| RDF Triple Store | Data | 75K+ triples | SBPI | All verticals |
| KG-LLM Optimizer | Algorithm | 12 parameters | MicroCo | All prediction work |
| Intelligence Brief Skill | Skill | 14 files, 2,035 lines | Internal | All client briefs |
| Autoresearch Spec | Research | 10 papers, 5 experiments | MicroCo | All verticals |
Total IP assets created in March: 13 reusable knowledge artifacts. Estimated replacement cost if built from scratch by a consulting firm: $150K–$300K. Marginal cost to apply to next client: near zero.
Foundational work that supports the entire ShurIQ ecosystem. Infrastructure investment reduces delivery cost; R&D expands the capability frontier.
Master Handoff document consolidating all operational knowledge. Financial model with revenue projections and cost structure. Sprint plan for Q2 execution. Content launch preparation including LinkedIn overhaul and initial content calendar.
8+ skills deployed (intelligence-brief, competitive-intel, value-flow-ontology, ontology-management, anti-slop, process-feedback, auto-session-capture, web clipper agent). MCP configuration consolidation (InfraNodus, OpenMemory, DEVONthink). Memory ecosystem architecture documentation. Web clipper autonomous intake agent (launchd persistent service watching Clippings/ folder).
OTK ecosystem research (observability, tracing, knowledge graph intersection). Discourse grammar baseline checkpoint (pre-discourse grammar analysis framework). PerceptagonViz JUCE plugin exploration.
Infrastructure investment in March directly reduces delivery cost for April. The intelligence-brief skill (14 files, 8-phase pipeline) now produces in 1 session what took 3-4 sessions in February. The web clipper agent automates intake processing that previously required manual triage. The MCP consolidation eliminated 5-6 sessions of recurring configuration debugging. Every hour invested in infrastructure yields compound returns across all future client engagements.