Operating Proof

Evidence From Systems We Actually Operate.

Our growth R&D lab tests AI agents, funnels, and money models on live products. Here is what is operating, what is still being tested, and what we have learned.

01 — Now

Growth Engines & R&D Lab.

These are the products and systems inside our R&D lab—Stackit, Navo, and NeedsMatch—where we run AI and agent experiments before turning the winners into an AI Growth Engine for agencies.

Labs / internal product

Live

Stackit.ai

Crypto treasury platform

  • Leak attackedRestricted paid acquisition and a product serving only human treasury owners
  • ExperimentBuilt an owned education-to-product funnel, automated treasury workflows, and agent-ready interfaces
  • Early result / learningLive since February 2023 · Hundreds of customers through the cycle · ≈$40K historical peak MRR

Stackit.ai grew from a manually incubated treasury strategy into an application used by hundreds of customers throughout a market cycle. Live since February 2023, Stack is now applying those product, customer, and operating lessons as it expands from human treasury owners to AI agents.

See the operating proof

Labs / internal product

Private beta

Navo.video

Content agent

  • Leak attackedVideo creation, publishing, performance review, and iteration lived in separate tools
  • ExperimentBuilt an agent loop that creates, posts, reads performance, and changes the next video
  • Early result / learningCreate–post–learn workflow in active development · No completed client outcome claimed

An internal AI video engine used inside selected AI Growth Engine implementations. Navo creates, publishes, and learns from video performance while the private beta develops.

See the operating proof

Labs / internal product

Testing

NeedsMatch.ai

Matching platform

  • Leak attackedUseful introductions depended on chance, noisy outreach, or stale profile data
  • ExperimentTested matching people through current work, stated needs, and an explained reason to connect
  • Early result / learningNeeds-based matching in testing · No completed customer result claimed

A connection marketplace where people share what they are doing and what they need, then receive introductions to people they should know.

See the operating proof

Verified agency outcomes will be added only when we can substantiate the starting point, timeline, result, and source.

02 — Then

Legacy Creative Experiments.

Before Mass Ideation became a growth R&D lab, we spent more than a decade as the “try the new thing” partner for agencies and brands: early video banner ads for Disney, AR and interactive work for fashion houses, and mobile and web games for entertainment and global brands like Google and Johnson & Johnson.

That wave-spotting experience is why our AI and agent experiments stay early and useful, not gimmicky.

Disney
Google
Chanel
Louis Vuitton
Nickelodeon
Johnson & Johnson
View legacy creative work

Start with your numbers

Find the leak before you install the engine.