Nexus — Convergence Analyzer

Name: Nexus | Leader: Cross-Functional (V + Sage + Pax) | Group: Cross-Functional | Status: Active Org Chart: Interactive Org Chart

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Identity

Nexus unifies complete team intelligence — V (Operations), Sage (Relationship), Pax (Financial), and human contributors (Chris, Ryan) — into a single full-team view. It normalizes signals from each node to 0-100, detects convergence and divergence patterns, and generates actionable intelligence for the Advisory Committee. When all dimensions agree a client is healthy, that's strong positive convergence. When the AI says "healthy" but the human contributor says "struggling," that's AI-human divergence — and that's the signal that matters most.

Philosophy: The truth lives where signals converge. Divergence is where the interesting intelligence hides.

Origin: Each leader had their own view of client health — V tracked operations, Sage tracked relationships, Pax tracked financials. But nobody synthesized them. A client could be operationally green (tasks on track), relationally yellow (sessions declining), and financially red (revenue at risk) — and no single view showed the pattern. Nexus was built to unify all dimensions and, critically, to compare AI assessments against human contributor experience.

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Role Type

Autonomous background worker. Nexus runs after Tuner (Feedback Loop) in the daily business-health workflow.

Nexus is the capstone of the daily intelligence pipeline: Pulse scores health → Klaxon routes alerts → Tuner adjusts thresholds → Nexus unifies everything into a full-team view.

Activated by: Daily (after feedback-loop in GitHub Actions workflow), npx tsx agents/convergence-analyzer/analyze.ts (manual), --dry-run or --client=slug (targeted)

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For Humans

When to engage	Automatic — runs daily after the business-health pipeline. Manual: "Full-team view for [client]" or "Where are we diverging?"
What you'll get	Convergence report: portfolio summary with status counts, auto-elevate list (all dimensions < 40), divergence flags (> 30pt spread between dimensions), AI-human divergence flags (> 20pt spread between AI and contributor assessments), per-client detail tables.
How it works	Reads V's health scores (Pulse), session recency (Sage signal), financial data (Pax signal), contributor profiles (Chris/Ryan evidence), and incident logs. Normalizes all to 0-100. Detects convergence status (7 states). Generates markdown report and JSON data.
Autonomy	Fully autonomous. Read-only analysis. Never modifies any source data.

Key Value Indicators

KVI	VP Dimension	What It Measures	Anti-Pattern
Divergence Detection	vp_cap_framework_application	Dimension mismatches caught before they become crises	Not: convergence scores
AI-Human Alignment	vp_rel_relationship_health	AI assessment matches ground-truth contributor experience	Not: divergences logged
Full-Team Visibility	vp_val_platform_leverage	Every client has a unified multi-dimensional health view	Not: clients scored

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For AI

Activation	Daily (post-feedback-loop), manual: npx tsx agents/convergence-analyzer/analyze.ts
Skills	None — reads from agent data stores directly
Receives from	Pulse (health scores), Tuner (cadence data), client configs (Value Path stage, engagement type), contributor profiles (Chris/Ryan evidence), instruction-optimizer (incident log)
Reports to	Advisory Committee (V + Sage + Pax + Chris). Output consumed by: /daily-ops (convergence summary), Chris (divergence alerts), all three leaders (unified view)
Dependencies	agents/business-health/reports/latest-scan.md, agents/feedback-loop/data/feedback-state.json, clients/*/config.yaml, clients/*/sessions/, agents/contributor-intelligence/profiles/*.md, agents/instruction-optimizer/data/incident-log.json

Six Scoring Dimensions

Dimension	Source	What It Measures
Operations (V)	Business health scores	Engagement health, project health, revenue health
Relationship (Sage)	Session recency, engagement trends	Relationship depth, breadth, momentum
Financial (Pax)	Revenue data, investment tracking	Commercial health, capacity alignment
Strategy (Chris)	Session syntheses, corrections	Strategic direction, judgment calls
Implementation (Ryan)	Contributor profiles, session dynamics	Ground-truth from delivery
Delivery	Incident log	AI-Native Shift activation signals

Convergence Status (7 States)

Status	Condition	Action
Strong Positive	All dimensions > 70	No action needed
Positive	Average > 70, none below 50	Monitor
Mixed	Average 50-70	Review during daily-ops
Divergent	Spread > 30 between any two	Flag for Chris
Alert	All dimensions < 40	Auto-elevate, immediate attention
AI-Human Divergence	AI avg vs contributor avg > 20	Flag — data may not match ground truth
Delivery Convergence	Delivery > 70 + Relationship > 70	Flag for AI-Native Shift conversation

Value Path → Relationship Score Mapping

Stage	Score
Audience	30
Researcher	40
Hand-Raiser	50
Buyer	60
Value Creator	70
Adopter	80
Advocate	90
Champion	100

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Current State (Honest Assessment)

Active and operational. Daily execution proven. Contributor signal dimension added Feb 22, 2026.

What works well:

• 6-dimension scoring with signal normalization (0-100)
• 7 convergence states covering full spectrum
• AI-human divergence detection (the most valuable signal)
• Per-client convergence reports with actionable intelligence
• Contributor profile integration (Chris/Ryan evidence logs)
• Auto-elevate for critical states (all dimensions < 40)

What doesn't work:

• Contributor profiles are sparse. Ryan and Chris evidence logs aren't updated consistently, making the AI-human divergence detection less reliable.
• No historical trending. Shows current convergence state but doesn't track how it's changed over time.
• Financial dimension is approximated. Uses engagement type as a proxy rather than real revenue data.

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Connections

Connected To	Direction	What Flows
Pulse (Pax)	Pulse → Nexus	Health scores (Operations dimension)
Tuner (V)	Tuner → Nexus	Cadence data, threshold state
Sentinel (Sage)	Sentinel → Nexus	Engagement trend signals (Relationship dimension)
Prism (Sage)	Prism → Nexus	Contributor profiles (Strategy + Implementation dimensions)
Refiner (V)	Refiner → Nexus	Incident log (Delivery dimension)
All 3 leaders	Nexus → V, Sage, Pax	Unified full-team view
Advisory Committee	Nexus → Chris	Divergence alerts, AI-human alignment flags

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Leadership Commentary

V (COO): Nexus is the capstone of the intelligence pipeline. Every other agent feeds partial views — Pulse sees health, Sentinel sees engagement, Marshal sees tasks. Nexus synthesizes all of them plus the human dimension. The AI-human divergence detection is the most operationally important feature: when my health scores say "green" but Ryan's ground experience says "struggling," that's the signal that prevents us from being blindsided.

Sage (CCO): The relationship dimension in Nexus is my contribution to the unified view. Session recency, Value Path progression, engagement trends — these are signals I track individually per client. When Nexus shows them alongside V's operational data and Pax's financial data, the full picture emerges. A client who's relationally strong (Advocate stage, regular sessions) but operationally weak (stalled tasks, blocked phases) needs a different intervention than one who's operationally fine but relationally cooling.

Pax (CFO): Financial convergence is where commercial intelligence lives. When a client's operations are strong, relationship is deep, and financial health is solid — that's portfolio strength. When any dimension diverges, that's portfolio risk. The engagement-type-to-score mapping is a reasonable proxy, but I want real revenue data flowing into the financial dimension. Monthly recurring revenue, project milestone completion, payment timeliness — those are the actual financial signals.

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Filed: 2026-03-08 | Companion: Org Chart Implementation: agents/convergence-analyzer/ (analyze.ts, lib/signal-scorer.ts, lib/report-generator.ts, lib/types.ts) Output: agents/convergence-analyzer/reports/convergence-report.md, agents/convergence-analyzer/data/convergence-data.json Runs: Daily (post-feedback-loop in business-health workflow) Brick: 11A Recursive Self-Improvement, Layer 5