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Title


The Butterfly Effect

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Title


The Butterfly Effect

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Scenario 1


Inspiration[+ active/creative]    Refinement[+ intuitive/adaptive]  Engagement [+ where you want/how you want]

  

Scenario 1


Inspiration[+ active/creative]    Refinement[+ intuitive/adaptive]  Engagement [+ where you want/how you want]

  

Limitless

Use Case Scenarios 

There are unlimited use-case applications that an individual can tap into and gather their personal data. They change as the user changes so the Butterfly experience is iterative and epoch driven, but a user’s unique data thumbprint, it remains a testament to cultivation and refinement, to legacy. 

This can be journaling for mothers and fathers, for teens, who want to keep a record of their lives, to look into their story, and explore the possibilities to grow their unique story and share when and how they want. 

This data can be memories for legacy, which appeals to the baby-boomer generation who are passionate about sharing their story for future generations. 

This can be data related to health concerns and feelings, where users can peer into their data, and utilize a graphical, gamified AI interface to analyze and augment depression symptoms, PTSD, addiction, dementia, preventative health, whatever personal improvements a user seeks to explore and change.

This can be creative musings for artists, writers, filmmakers, and musicians, who want to gather story and ideas, look into and target assets that effectively speed up creative development. 

 

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Scenario 2


This isn't social networking as much as social engagement on a whole new level, with different outcomes.

Scenario 2


This isn't social networking as much as social engagement on a whole new level, with different outcomes.

Better Together

Ecosystem Driven

We imagine the Butterfly ecosystem being a safe place to create content, off line first, to be shared later. This is reverse engineering the short term “dopamine trigger effect” of social networking. Current use-case scenarios within the social networking landscape provide an immediate release through “likes and shares” which has created a culture of content gathering and sharing that is immediate, sensate, where users freely give this data away to the IoT. This phenomenon has evolved into a culture of sharing other peoples content, often times immediately, for the sake of relevancy, for the sake of likes, for the sake of social networking. 

So what if we decide to change that social contract? What if we decide that our content matters, first? That ownership of our data matters more than the sensate short term dopamine effect? Can we hack into this phenomenon, deepen experience and engagement, refine our ideas, and contextualize more meaning, and by virtue a more valuable dopamine trigger? The answer is yes. And AI, deep learning, and the advent of the personal assistant will play a major role in this movement. 

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Scenario 3


Butterfly will integrate dApps and Bots within multiple use-cases thriving in an ecosystem that inspires creation of story, health and wellness, legacy, creativity, and fosters engagement. 

Scenario 3


Butterfly will integrate dApps and Bots within multiple use-cases thriving in an ecosystem that inspires creation of story, health and wellness, legacy, creativity, and fosters engagement. 

Decentralized

dAPP and Bot Innovations 

The emergence of decentralized applications, known as dApps — a new form of applications based on blockchain technology — and Bots — autonomous agents that can independently make decisions based on inputs — offer a huge opportunity to establish an entirely new decentralized, trustful market within the Butterfly ecosystem. These dApps and Bots operate autonomously, open and accessible to all. 

dApps offer previously unimaginable imperviousness to any kind of central point of failure attacks. Carefully designed dApps fulfill exact requirements regarding user data privacy, availability and reliability that allow informational and monetary exchanges between users, creating an unprecedented level of security and trust available through open source code and consensus algorithms to perform critical functions. Projects in Ethereum have had success developing the dApps ecosystem that is already rapidly evolving. In the coming years, thousands of new dApps will appear and they will require a dedicated story-share ecosystem for monetization.

Butterfly will integrate dApps and Bots with multiple use-cases thriving in an ecosystem that inspires the creation of story, health and wellness, legacy, creativity, and fosters engagement. BFlyCOIN is the gas that fuels the Butterfly protocol, ecosystem, and virtual assistant, centered on user-generated content and data propagation. 

 

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Scenario 4


Proof of Existence / Proof of Stake / Wicked Fast

Scenario 4


Proof of Existence / Proof of Stake / Wicked Fast

Smart Contracts

Beyond Proof of Existence 

We plan to utilize Smart Contracts at the point user-generated data meets the marketplace - For example, if an Enterprise Smart Contract calculates and adjusts user-generated daily diet, sleep habit, condition/symptoms and side effects of a specific medication using Phase 3/4 testing and statistical functions, etc. any Pharmaceutical company, university research, Insurance Provider, and Healthcare Organization signing such a contract would want:

  • To know who is providing this input
  • Assurances as to the integrity of the data provided, no tampering, modification or spoofing
  • Data cannot be provided artificially or outside the bounds of the conditions established
  • Strong proof or attestation of this data used in the calculation, and its proof recorded along with the resulting output of the calculation, the actual input value can remain secret if desired.

But some information for Pharma might be sensitive (newly tested drug) and unsharable with other enterprise. With Cryptlets introduced, focusing on separating the logic from the data as the primary driver, it allows your code to share the same cryptographic properties and primitives used by blockchains. 

A shared framework for building Enterprise Smart Contracts that can provide the difficult bits required like:

  • Just in time secure runtimes for code
  • Distributed injection of secrets into these runtimes that allow for cryptographic functions like digital signatures and encryption to occur
  • Securely integrate enterprise identity to secrets to allow “on-behalf of” transactions
  • Cryptographic proof generation for cipher diversity (ECC, RSA, etc.) and shared infrastructure for expensive operations like Zero Knowledge Proofs, Ring Signatures and Threshold or Homomorphic encryption
  • Abstracted integration into any blockchain or distributed ledger so logic is portable between platforms
  • Open surface level API for working with underlying blockchains for integration into existing systems or wiring up user interfaces.
  • Common enterprise development environments like .NET and Java (CLR, JVM) and newer functional languages and DSLs.