BioSystems · founder preview office

Evidence before action.

Same domain logic as the authenticated JovaOS BioOps surface, rendered here as a standalone reference demo.

SHAREABLE FOUNDER VISION · SYNTHETIC
Open questions3
Datasets linked2
Tests planned2
Evidence stateDEMO

Priority

Choose the first paid question.

Define the buyer decision, source data, completion criterion and stop rule before adding features.

Guardrail

BioSense remains locked.

Software and existing data must prove a measurement gap before sensor work earns priority.

Intelligence

Kimi remains underneath.

Prism is presentation. Kimi handles authenticated Jova intelligence through the shared platform boundary.

Data Lab

Run a bounded synthetic analysis.

No live client records are read. The button exercises deterministic demo state only.

Founder Analyst Workbench

Use Melissa’s full method — not just the job title.

Private founder-method personalization. No employer, government, or client data is connected.

PRIVATE FOUNDER CONTEXT · SHARE-SAFE Current data-analysis work shapes how BioOps organizes analysis.

Employer-specific title/program/duties/clients/permissions remain private unless separately approved.

THREE.JS VISUAL WORKSPACE

See the system before you trust the spreadsheet.

Use visual modes to explore relationships, uncertainty, biological patterns, and system complexity before building the analytical plan.

SYNTHETIC · NO LIVE DATA
Visual metaphor onlyNo causal or biological claim is created by this scene.

Animation controls, not measurements. Change the view without changing any real data.

Settings only. Files stay on your device.

PUBLIC_VERIFIED

Systems test / engineering

Test plans, operational success criteria, measurement quality, failure modes, documented findings and review.

PRIVATE FOUNDER CONTEXT

Current data-analysis work

Data quality, exploratory analysis, repeatable calculations, trend/cohort review, analytical QA and decision-ready storytelling.

PRIOR_USER_CONTEXT

Systems / program method

Requirements, traceability, dependencies, handoffs, acceptance and change-control thinking.

PRIOR_USER_CONTEXT

Database foundation

Source-to-field mapping, schema awareness, transformation transparency, lineage and reconciliation.

USER_PROVIDED_HISTORICAL

Bioengineering orientation

Measurement-first biological systems thinking. Exact degree/major remains unverified and is not published as a credential.

Completeness92%
Duplicates18%
Range checks86%
Reliability88%
SELECTED ANALYTICAL JOB

Data Quality Audit

Is this dataset trustworthy enough to analyze?

MELISSA METHOD SEQUENCE
  1. Define the decision question and owner.
  2. Inventory source authority and fields.
  3. Profile missingness, duplicates, ranges and reliability.
  4. Record filters, joins, transforms and derived fields.
  5. Run descriptive / exploratory analysis.
  6. Challenge alternative explanations and assumptions.
  7. Produce a reproducibility receipt.
  8. Hand off a validation plan or bounded decision brief.
EXAMPLE WORKFLOW SKILLS
Process planningService workflowsTechnical designVersion history

These sample skills show how a workspace can be personalized. They are not claims of credentials or qualifications.

DO NOT INVENT

Employer-specific program/client/duties/datasets/permissions, exact unverified degree/major, and confidential methods remain outside this share preview.

Data-to-Decision Lab

Build a reproducibility receipt.

Question → source → quality → recipe → result boundary → next evidence.

QUALITY PROFILE
Rows4
Reliability88%
Window30d
EvidenceSYNTHETIC
01

Source receipt

Authority, window, unit, missingness, duplicates and reliability.

02

Transformation log

What changed between source data and calculated result, with assumptions visible.

03

Decision brief

Result class, limitation, strongest alternative explanation and next evidence.

Multimedia Asset + Context Graph

One ecosystem. Explicit boundaries.

Filter by scope to see what can be public, what transfers with a venture, what stays with the founder/client, and what belongs to Jova/Jmorex platform IP.

Visible nodes—
Visible links—
Data flows—
Promotion lanes—
RELATIONSHIPS
Loading local governed graph…

Test Plans

Pre-register what success means.

Acceptance and stop criteria belong before results.

EXP-SYN-001

Capacity vs. incident exposure

PLANNED · define exposure denominator, dog/staff mix, missingness and sample adequacy.

EXP-SYN-002

Low-utilization offer

PLANNED · contribution metric, target cohort, attribution window and no-harm stop rule.

RULE

Try to falsify first.

Confounders, calibration, drift and failure modes stay visible instead of being edited out of the story.

Evidence

Know what kind of truth you have.

Observed

Direct source record with scope, time and provenance.

Calculated

Deterministic transformation with method and inputs preserved.

Modeled

Assumptions exposed; never presented as an observed outcome.

Venture

Economics with founder labor counted.

Economic contribution = price − cash variable cost − imputed expert labor.

Founder-hour leverage = contribution margin / expert hours.

Illustrations remain assumptions until a real scoped engagement supplies evidence.

Founder Profile

Personalization has provenance.

PUBLIC_VERIFIED

Engineering / test discipline

Used to shape test planning, measurement quality, acceptance criteria and documented findings.

PRIVATE FOUNDER CONTEXT

Current analytical work

Private founder context can shape the internal workflow without being published in this share preview.

BOUNDARY

Founder candidate

No company role, ownership, employment or public biography is inferred from this preview.