Skip to main content

A Patent on AxonOS AI-Native platform, where you can orchestrate intelligent workflows

· 3 min read
Ravi Kaushik
Ravi Kaushik
Founder @ Simtel.AI

Application Filed: A SYSTEM AND METHOD FOR AI-ASSISTED APPLICATION DEVELOPMENT PLATFORM USING A DEFINITION LANGUAGE​

At Simtel.AI, we believe the next generation of software will be built not just by humans, but in collaboration with intelligent systems. Our latest invention — an AI-assisted application development platform using a definition language (DL) — addresses long-standing challenges in software engineering, making development faster, more secure, and more scalable.

Why We Built This​

Traditional software development relies on hand-written source code, framework-specific tools, and disconnected orchestration systems. Even with low-code and no-code platforms, developers struggle with:

  • Fragmentation: Visual design tools, source code, and execution logic are often out of sync.
  • Scalability gaps: Current platforms lack persistent AI agent memory, dynamic orchestration, and robust credential management.
  • Limited AI integration: AI is usually bolted on, not embedded as a core design principle.

The result? Redundant work, brittle workflows, and difficulty scaling AI-native applications.

Our Approach: Definition Language (DL)​

We introduce a JSON-based definition language that acts as a single source of truth. It’s readable by humans, executable by machines, and editable by AI models. This unified specification brings together inputs, outputs, credentials, execution logic, source code, and UI — eliminating silos.

Key capabilities include:

  1. Executable JSON Node Templates – Standardized building blocks for workflows, validated with AI guardrails.
  2. Bi-directional Visual & Code Sync – Graphical workflows always stay aligned with JSON specifications.
  3. Secure Credential Resolution – Zero-knowledge architecture ensures secrets are never exposed.
  4. AI-Driven Workflow Generation – Large language models can generate, debug, and refactor workflows in real-time.
  5. Scalable Deployment – Workflows become containerized microservices or API endpoints ready for cloud, edge, or on-prem.

Inside the Platform​

Our system brings together several powerful modules:

  • AI Agentic Module: Defines capabilities in DL-based JSON.
  • Node Builder & Explorer: Lets developers and AI co-create functional units.
  • Flow AI Workspace: Translates high-level goals into DAG-based workflows.
  • Orchestration & Deployment Engine: Converts workflows into containerized applications with monitoring, testing, and governance built-in.

By combining these, developers, startups, and enterprises can build applications with greater speed, reliability, and compliance.

Benefits for the Future of AI-Native Software​

  • Faster Iteration: Visual and AI-assisted tools reduce development cycles.
  • Stronger Security: Credential vaulting and schema validation enforce safety by design.
  • True AI-Native: Agents retain memory, execute complex orchestration, and self-improve over time.
  • Enterprise-Ready: Compliance, governance, and certification are embedded into the workflow.

What This Means for the Industry​

We see this as a major step toward AI-native orchestration platforms. By aligning human-readable definitions with machine-executable workflows, we reduce friction, improve collaboration, and unlock entirely new possibilities for autonomous applications.

At Simtel.ai, we’re not just building tools — we’re building the language of the future for humans and machines to co-create software.