🤖 26 Robots, 35 XMR in Bounties, and TAZ DAY #1: MyZubster Moves From Code to Reality
Open Source · XMR Payments · 26 Robot Projects · XMR Bounties · EVA AI · TAZ DAY #1
MyZubster is entering a new phase.
What started as an experiment around a robot bartender and Monero payments has grown into an open-source ecosystem covering robotics, AI, automation, IoT, community bounties and real-world experimentation.
The latest milestone brings together:
- 🤖 26 robot projects
- 🌍 6 robotics sectors
- 💰 35 XMR in completed bounties, according to this update
- 🧠 EVA, an AI agent for ecosystem operations
- 🪙 Monero payment infrastructure
- 📍 TAZ DAY #1 in Riccione
- 🌱 Hera and Orto DAO concepts
- 🔧 Open-source development
The important question is no longer simply:
"Can we build a robot?"
The question is:
Can we connect robots, AI, payments and open-source infrastructure into a system that can be tested in the real world?
🤖 26 Robot Projects
The current MyZubster roadmap covers six sectors.
| Sector | Projects | Listed Roadmap Value |
|---|---|---|
| Fluffypony | 5 | 16 XMR |
| Robot Barman | 4 | 8.5 XMR |
| Nurse Robots | 5 | 13 XMR |
| Hera Robots | 5 | 9 XMR |
| Industrial | 4 | 15 XMR |
| Educational | 3 | 5.5 XMR |
| TOTAL | 26 | 66 XMR |
These numbers describe the project's robotics roadmap and listed bounty values.
They should not be interpreted as 26 fully autonomous robots already deployed commercially.
The projects represent different robot capabilities and development targets.
The next challenge is integration and physical validation.
💰 The Bounty Model
One of the central ideas behind MyZubster is turning development tasks into open-source bounties.
The workflow is:
GitHub Issue
↓
CLAIM
↓
CODE
↓
Pull Request
↓
Review
↓
Merge
↓
XMR Reward
The latest update reports 35 XMR in completed bounties.
The individual bounty list included in this update covers work across Fluffypony, Hera and Nurse projects.
The important part isn't only the amount of XMR.
It is the development mechanism.
A developer can identify a concrete technical problem, implement a solution, submit a pull request and receive a reward after the contribution is accepted.
This creates a direct relationship between:
problem → contribution → implementation → reward.
🤖 Fluffypony Laser
The Fluffypony Laser project includes three newly completed tasks in this update:
| Task | Bounty |
|---|---|
| Hardware Integration | 5 XMR |
| Web Interface | 3 XMR |
| Sound Effects | 2 XMR |
10 XMR
These components connect the robot more closely with hardware, software interfaces and physical interaction.
A simplified architecture is:
Web Interface
↓
Robot Gateway
↓
Hardware
↓
Laser / Sound / Movement
The interesting part is that the robot is not being treated as an isolated piece of hardware.
It becomes an endpoint of a larger software system.
🧹 Hera Robots
The Hera category contains several practical applications.
The completed tasks listed in this update include:
- Security Patrol;
- Security Robot;
- Cleaner;
- Scheduler;
- Gardener.
Together, these projects explore:
🛡️ Security
🧹 Cleaning
🌱 Gardening
⏱️ Scheduling
The long-term idea is to reuse common infrastructure across different robotic services.
For example:
Sensors
↓
AI
↓
Gateway
↓
Task
↓
Hera Robot
↓
Physical Action
The same architecture could support different robots without rebuilding the entire backend each time.
🏥 Nurse Robots
The latest update also includes completed work related to Nurse Robots:
| Project | Bounty |
|---|---|
| Monitor | 4 XMR |
| Assistant | 4 XMR |
These projects explore how robots can assist with healthcare-oriented workflows.
They should not be interpreted as clinically approved autonomous medical systems.
Real deployment in healthcare would require:
- safety validation;
- medical certification;
- regulatory compliance;
- human oversight;
- extensive testing.
At this stage, the focus is on developing the technology and exploring possible applications.
🧠 EVA: The AI Agent
Another important part of the ecosystem is EVA.
EVA is an AI agent designed to operate from the terminal and provide a unified interface to MyZubster infrastructure.
She can work with commands such as:
stato
bounty
robot
evento
github
fluffypony
notizie
prossimo
deploy
backup
update
The idea is to reduce the complexity of managing multiple systems.
Instead of manually checking repositories, robot projects, events and operational information, the developer can interact with EVA.
The architecture looks like:
Developer
↓
EVA
↓
MyZubster Infrastructure
├── GitHub
├── Robots
├── Gateway
├── Bounties
├── Backups
└── Deployments
⚙️ From AI Assistant to AI Agent
There is an important difference between an AI chatbot and an AI agent.
A chatbot primarily produces information.
An agent can interact with tools and execute defined operations.
For example:
Developer
↓
"EVA, check the robot status"
↓
EVA
↓
Robot / Gateway
↓
Status
↓
EVA
↓
Developer
Or:
Developer
↓
"EVA, backup"
↓
EVA
↓
Backup System
↓
Confirmation
This makes EVA part of the operational layer of the ecosystem.
However, an agent with access to real infrastructure needs strict permissions, logging and safety controls.
The more an AI can execute, the more important those controls become.
🪙 Monero and Physical Services
Monero is part of the payment architecture being explored by MyZubster.
The concept is bigger than simply putting an XMR wallet next to a robot.
The intended workflow is:
Customer
↓
Service Request
↓
XMR Payment
↓
Payment Verification
↓
Gateway
↓
Authorization
↓
Robot
↓
Physical Service
The payment becomes an event that can participate in an automated workflow.
For example, a robotic bartender could receive an order, wait for payment verification and then perform the corresponding physical action.
This creates a bridge between:
digital infrastructure → decentralized payment → physical service.
🍹 Fluffypony at TAZ DAY
This concept becomes much more interesting when it leaves the terminal.
The planned TAZ DAY #1 in Riccione is designed as the first physical MyZubster event.
One of the demonstrations is:
🤖 Fluffypony Laser
A robot bartender concept combining:
- robotics;
- XMR payments;
- laser effects;
- software control;
- physical interaction.
The objective is to demonstrate how the digital infrastructure can connect to a physical machine.
🧹 Hera at TAZ DAY
The event also plans to demonstrate Hera-related robotics:
🧹 Hera Cleaner
An autonomous cleaning concept.
🛡️ Hera Security
A security robot concept designed around patrol and anomaly detection.
🌱 Hera Gardener
A robot concept focused on plant care and garden maintenance.
These are different physical applications, but they can share common infrastructure.
That is the point of building an ecosystem instead of isolated robots.
🌿 Orto DAO
TAZ DAY also connects robotics with the environmental side of MyZubster.
The Orto DAO concept focuses on seed and plant exchange using Seed NFTs.
The idea is to connect:
🌱 Plants
🧑🌾 Community
🪙 Digital assets
🤖 Robotics
📡 IoT
This creates a different type of physical-digital ecosystem.
The objective isn't simply to tokenize a plant.
The broader concept is to connect digital information and ownership/community records with real-world environmental activity.
📍 Why TAZ DAY Matters
The most important part of TAZ DAY is not the event itself.
It is the transition from software development to physical experimentation.
Until now, much of the ecosystem can be developed through:
- GitHub;
- terminals;
- APIs;
- simulations;
- development environments.
A physical event introduces a different environment:
Code
↓
Hardware
↓
Physical Environment
↓
Real People
↓
Real Interaction
That is where unexpected problems appear.
🧪 Real-World Testing Changes Everything
A robot can work perfectly in a controlled development environment.
Then reality introduces:
- noise;
- lighting changes;
- network problems;
- unexpected user behaviour;
- sensor errors;
- hardware failures;
- timing problems;
- payment delays.
This is why real-world testing is essential.
The development loop becomes:
Build
↓
Test
↓
Deploy
↓
Real World
↓
Observe
↓
Find Problems
↓
GitHub Issue
↓
Bounty
↓
Fix
↓
Test Again
This is the real meaning of moving from code to reality.
🌍 What Changes in the Real World?
The ecosystem is moving toward a model where a user could eventually interact with a physical service through several software layers.
For example:
User
↓
Application
↓
EVA / AI
↓
Payment
↓
Gateway
↓
Robot
↓
Physical Service
↓
Result
The user doesn't need to understand every internal component.
The complexity stays behind the interface.
This is similar to how modern web applications hide complex infrastructure behind a simple user experience.
The difference is that the final endpoint is physical.
🔐 Security Becomes More Important
When software controls physical machines, security cannot be treated as an afterthought.
A production system would need to address:
- authentication;
- authorization;
- payment verification;
- secure APIs;
- device security;
- encrypted communication;
- logging;
- monitoring;
- emergency stops;
- recovery procedures;
- human override.
An AI agent should not have unlimited control over physical machines.
The architecture must define exactly what an agent can and cannot do.
🧩 The Ecosystem Architecture
The long-term architecture can be represented as:
MYZUBSTER
│
Gateway
│
┌──────────────────┼──────────────────┐
↓ ↓ ↓
EVA Payments GitHub
↓ ↓ ↓
└──────────────────┼──────────────────┘
↓
Robots
↓
Physical World
This is the key idea.
The ecosystem is not one application.
It is a collection of interconnected services.
🚀 What Comes Next?
With the current robotics roadmap and completed bounty work, the next phase should focus on integration.
The important questions are now:
Can the robots communicate reliably?
Can the Gateway coordinate different services?
Can payments trigger verified workflows?
Can EVA safely operate infrastructure?
Can the robots perform useful tasks in real environments?
Can real users interact with the system?
These questions cannot be answered by GitHub alone.
They require testing.
📅 TAZ DAY #1
The planned event in Riccione, Italy, September 2026 is therefore more than a demonstration.
It represents an experiment.
The goal is to bring together:
🤖 Robotics
🧠 AI
🪙 Monero
🌱 Environmental projects
👥 Community
🔧 Open source
and see how these components behave together in a physical environment.
Final Thoughts
The latest MyZubster milestone is not simply:
"We built 26 robots."
The more accurate description is:
We built a roadmap and a collection of robotics projects across six sectors, funded development through XMR bounties, added an AI operational layer through EVA, and are now moving toward physical integration and testing.
The ecosystem includes:
🤖 Fluffypony
🍹 Robot Barman
🏥 Nurse Robots
🧹 Hera
🏭 Industrial Robots
🎓 Educational Robots
🧠 EVA
🪙 Monero
💰 Community Bounties
🌱 Orto DAO
📍 TAZ DAY
The next stage is where everything becomes more difficult — and more interesting.
Connect the components.
Put them on real hardware.
Let real people interact with them.
Measure what works.
Fix what doesn't.
Repeat.
That's how an open-source robotics ecosystem moves from a repository to the real world.
🤖 Build.
🧠 Automate.
🪙 Pay.
🧪 Test.
🌍 Improve.
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