01 Research
Local SME Digital Preview
Hypothesis
Personalized digital-presence previews will create written replies and price interest from execution-weak but digitally ambitious local premium SMEs.
Venture lab / Intelligence desk
Building useful AI & growth systems before they become obvious.
Rosien Labs is a founder-led venture lab for rapid experiments in AI automation, growth workflows, and local-business digitization.
Intelligence desk 16 Jun 2026
Lab status
Experiments in progress3
Ideas in evaluation5
Archived2
Velocity72/100
Signal quality68/100
Capital efficiency80/100
Experiments at a glance
Local SME Digital PreviewResearch
Beauty Audit FunnelModeling
AI Growth SystemsResearch
Latest decision
Focus next 60 days on high-intent local business segments with strong execution gaps.
View decision log ->Operating mode: Validate -> Document -> Decide -> Automate when proven
1. Current Experiments
Three live idea systems, each with a hypothesis and gate.
02 Modeling
Beauty Audit Funnel
Hypothesis
A lightweight audit and preview funnel can drive reply rates and open a paid diagnostic offer without paid ads.
03 Research
AI Growth Systems
Hypothesis
Repeatable AI and automation workflows can reduce CAC and manual ops for small teams without increasing headcount.
2. Featured Experiment
Validate interest in personalized digital presence previews for local premium SMEs.
Local SME Digital Preview
Digitally ambitious. Execution-weak. Worth testing carefully.
Target
Digitally ambitious but execution-weak local premium SMEs.
Goal
Validate whether personalized digital-presence previews create written replies and price interest.
Current state
Research / trust-stack / funnel modeling.
StatusResearch
Latest lab note
Reframe the preview as a diagnostic mirror, not a pitch. Stronger trust artifacts should improve reply quality.
- G.R.
3. Lab Artifacts
Evidence objects, not marketing theater.
CSV ->
Lead Funnel Dataset
Early outreach and reply data, structured for learning.
JSON ->
Experiment Registry
All experiments, hypotheses, status, and next gates.
MD ->
Decision Log
Immutable record of decisions and reasoning.
MD ->
Audit Mockup Structure
Preview architecture, sections, and scoring model.
MD ->
Outreach Rules
No outreach without Gary-Go. Ethical and compliant always.
4. Operating Principles
Low-burn, static-first, approval-gated by design.
Low-burn infrastructure
Keep costs minimal. Prove before scaling.
Static-first architecture
Simple, fast, secure. Deploy only when ready.
No outreach without approval
Respect, consent, and founder control.
No secrets in repository
Security by default. Principle over convenience.
Quality gate before automation
Automate after learning. Not before.
Data before scaling
Let evidence drive every decision.
5. About
Founder-led, practical, evidence-seeking.
Gary Rosien builds and tests AI, e-commerce, and automation workflows with a bias toward practical validation and low-burn execution. Rosien Labs is the operating system for turning ideas into evidence, and evidence into durable systems.
Gary Rosien
6. Contact
Private lab, placeholder contact.
For collaborations, ideas, or experiment discussions:
Contact placeholder. Do not assume the mailbox is monitored or configured.