§0 · One-page summary What we are proposing — in one page

A design-partner trial of FlowInLife's upstream-automation product, structured so Plumlogix carries no risk: per-employee pricing variable on agreed efficiency KPIs, free if those KPIs are not met. Plumlogix is the design partner; FlowInLife builds the product around your operations.

Pages 3–9: the frame deepened (pp 3–4), the product (pp 5–6), the proof (pp 7–8), the proposal (p 9).

§1 · Frame Upstream / Downstream — why we complement, not compete

Plumlogix and FlowInLife sit on different sides of the same company. You build the systems that engage customers. We build the system that protects the humans inside the operation. Your AI work makes commodity tasks disappear; ours helps the remaining humans find the edge that AI cannot replicate.

Why this framing matters now

The same Agentforce work that flips commodity customer-facing tasks to AI also redistributes the human workload upstream. The remaining humans get the harder, higher-judgment work — which means the cost of cognitive friction, burnout, and context-switch tax goes up, not down. Downstream automation creates upstream pressure. That is the gap FlowInLife closes.

§1 · Frame (continued) Where each company DELIVERS — the non-overlap proof

The 16-horizontal Porter value-chain mapped against both companies (internal & customer-facing) shows the two operate on different sides of the company. No overlap means no competition — which means joint motion is additive, not zero-sum.

The non-overlap finding — in one table

Full mapping: 01_Strategy/collaborations/Shoaib_Chaudhary/COLLABORATION_STRATEGY.md §2 H Mapping (16 × 4 entities).

§2 · Product What FlowInLife ships — the operational-side product

FlowInLife is two surfaces over one engine. The engine codifies the cognitive signal of knowledge work into measurable, machine-readable patterns. The personal surface (B2C) captures and reflects that signal back to the individual. The operational surface (B2B / what we propose to Plumlogix) aggregates it into team-level efficiency KPIs without exposing individual data.

The engine · what we mean by “codified cognition”

Two surfaces, one engine

§2 · Product (continued) How it fits inside Plumlogix — the trial shape

Touchpoints with your existing stack

What we deliver in the trial period

• Onboarding: personal surface (iOS) for every team member who opts in · no mandatory adoption
• Operational dashboard: 2–3 agreed efficiency KPIs at team-aggregate level · population-only view, no individual identification
• Weekly check-in: 30-min review with Mo · KPI movement, friction points, what's working, what to tune
• Joint case-study material: co-authored with Plumlogix permission · for AMCOB network, AppExchange listing context, conference talks
• Direct line to dev: if you need a feature, you get first claim on the roadmap during the trial

What we do NOT do

§3 · Proof (scientific) Why the codification works — the science track

FlowInLife's engine is not a wellness app with vibes. It is twenty years of cognitive-science work crystallized into a measurable code — the kind of measurement that lets you do real engineering on the human side of the human-AI mix.

The labeling problem — why nothing has worked before

Every prior attempt to measure cognitive state runs into the same wall: the labels are not engineering-grade. “Happy,” “focused,” “stressed” are too coarse to drive a feedback loop. The cognitive-science field has produced thousands of papers without converging on a measurement that can be deployed at scale.

The Mind RGB code

What RGB did for color, FlowInLife does for cognition: a small set of orthogonal dimensions that codify the cognitive state of a working human. The output is a numerical profile — reproducible, machine-readable, precise enough to serve as training labels for downstream AI (eye tracking, EEG, behavioral models).

§3 · Proof (commercial) How we measure trial success — candidate KPIs

The pricing is variable on efficiency gain. That only works if we agree, before the trial, on what efficiency means for Plumlogix. Below are 2–3 candidate KPIs for the next call — you pick which fit your operations. The KPI we agree on is the one we hit, or the trial is free.

Candidate KPIs · pick 2–3 on the next call

How the “free if not met” clause works

§4 · Proposal The proposed next steps

Proposed next steps

One more thing — the thought-leadership thread

You raised the “AI commodity-flip” framing on the 5/4 call — the same topic your team had been discussing internally that morning. There is a clean joint workshop angle here, either for the AMCOB network or for your existing client base. We will revisit this on the next call alongside the trial structure. Independent of the trial outcome, the joint-workshop conversation stands on its own.