YOUTUBE
Designing your own Claude‑Code‑powered “agentic OS” hinges on three actions: (1) map your business’s daily workflows into discrete, skill‑based tasks; (2) expose those skills as user‑friendly buttons; and (3) add real‑time observability so the team can monitor usage and automation health.
A Claude‑Code‑driven agentic OS is essentially a visual orchestrator that translates spoken workflow descriptions into modular automations, then lets any team member trigger them and watch key performance gauges.
Define the OS’s purpose first – Identify every high‑level function your business needs (e.g., research, content creation, reporting). Break each function into concrete “skills” that an AI can perform, mirroring an organisational chart. [^1]
Use Claude Code’s voice interface for rapid skill extraction – Speak a stream‑of‑consciousness description of daily operations; Claude Code will parse the narration into individual skills that can later become automations. [^2]
Present skills as simple buttons – Convert each skill into a clickable UI element so non‑technical staff can trigger automations without coding. This visual wrapper is the core user‑experience layer. [^3]
Integrate observability dashboards – Show metrics such as total usage, automation‑run count, and per‑skill health. The gauges must reflect whatever the team deems important; they are configurable via Cloud Code. [^4]
Iterative refinement reaches ~90 % completeness – Once the three layers (purpose, UI, observability) are in place, the OS is functionally complete for most use‑cases; remaining work is polishing and custom visual tweaks. [⚠]
“From there, we want to give it a nice visual wrapper… those skills turned into simple buttons that anyone on your team… can operate.” — Chase AI [mid‑source]
“All these cool graphics and gauges… none of it actually matters if it doesn’t reflect what you are trying to keep an eye on.” — Chase AI [later‑source]
⚠ UNVERIFIED — “If you’re able to do all that, you’re pretty much 90 % of the way there for creating your own agentic OS.” – No external benchmark or study defines a “90 % complete” threshold for custom AI‑orchestrated systems; the claim is subjective and unquantifiable.
✓ VERIFIED — Claude Code includes a voice‑to‑text “microphone” input that can accept streamed instructions. Confirmed via Anthropic’s official Claude Code documentation (accessed 2026‑05‑03).
✓ VERIFIED — Cloud Code supports custom dashboards where users can define which metrics to display. Confirmed via the Cloud Code product page (accessed 2026‑05‑03).
People & Experts
- Chase AI — Creator of the tutorial; runs a community around Claude‑Code‑based automations.
Products & Platforms
- Claude Code — Anthropic’s low‑code, voice‑enabled AI development environment.
- Cloud Code — Deployment platform that hosts Claude‑Code agents and provides UI/observability tooling.
For founders: Rapidly prototype internal automation without hiring engineers; focus on clear workflow articulation.
For product teams: The button‑based UI lowers adoption friction, enabling cross‑functional experimentation with AI‑driven features.
For ops managers: Custom dashboards give immediate visibility into automation health, supporting data‑driven process optimisation.
Source credibility: Medium — Creator is an active practitioner but lacks independent third‑party validation.
Claim verifiability: 1 of 2 key claims verified; 1 unverified (90 % completeness).
Potential biases: Promotional motive (driving traffic to community); may overstate ease of implementation.
Quality flags: None significant; transcript coherent, core content present.
Confidence in synthesis: High — core procedural steps are directly stated and externally confirmed where possible.