This is
timveroAI

timveroAI is the AI implementation layer built into timveroOS Building Platform. It is not a separate plugin - it ships as part of the platform and has direct access to your configuration, workflows, and building blocks via RAG. You access it through Claude Code using 4 MCP servers.

timveroAI handles five core workflows:

Requirements & analysis - formalises business requirements from conversations, charts, or BPMs into structured specs; helps product owners and business leads understand the current state of their system

Implementation - takes formalised requirements and implements them using timveroOS building blocks in the correct, platform-native way

Testing - runs automated tests to verify the implemented feature against requirements

Documentation - generates and updates AI docs reflecting the current state of your configuration

Orchestration - can manage a sub-agent team to run development, QA, and deployment tasks in parallel

In practice, a feature that used to take days can be implemented and tested in under 10 minutes.

Not for most workflows. timveroAI is designed so that product owners, business analysts, and operations leads can configure and extend the platform using natural language - charts, BPMs, simple Q&A, or plain descriptions. Engineers are optional at the implementation stage; the plugin handles code generation and platform-native integration. That said, for complex custom scenarios, a developer can work alongside timveroAI to accelerate delivery significantly.

timveroAI maintains a structural knowledge base of your timveroOS configuration - connected modules, customisations, implemented workflows, and best practices. It reads this knowledge base before every action, which is why it can ask the right clarifying questions (like a good product owner) rather than making assumptions. Access is scoped to your timveroOS instance only; the plugin doesn't have access to borrower data or external systems unless explicitly connected.

timveroAI doesn't replace your team - it removes the bottlenecks that slow them down. Requirements are formalised faster and more accurately. Platform-native implementation means fewer integration errors. Automated testing catches regressions immediately. Your engineers spend time on high-value decisions, not boilerplate configuration. Most clients see their team handling 3–4× the throughput on platform customisation without additional headcount.

timveroAI is an agentic AI system — not a chatbot. The distinction matters: a chatbot answers questions and waits for your next input. timveroAI takes a goal, breaks it into subtasks, and executes them autonomously. It manages a team of specialised sub-agents — one to formalise requirements, one to implement, one to test, one to update documentation — all running in parallel under a single orchestrator. Once you describe what you need, it asks the right clarifying questions (just like a good product owner), then executes end-to-end. Your team reviews the output, not every step.