Product / Phemacast

A programmable pipeline for dynamic, audience-specific content rendering.

Phemacast is a Prompits-based rendering pipeline that separates authored meaning from delivery format. A Phema can be resolved against live pulse data, transformed through Phemar stages, and rendered by Castr agents for different viewers without duplicating the source knowledge object.

Phema-Centric Authoring

Keep authored meaning separate from rendered output so the same source can support multiple delivery paths.

Pulse-Bound Execution

Bind dynamic data into structured content through Pulsers and templates instead of hard-coding everything into a single prompt.

Composable Output Agents

Use Phemar and Castr stages to render JSON, markdown, text, and future richer formats from the same workflow.

The Phemacast Pipeline

1
Define the Phema

Author a reusable content object with prompt, bindings, persona defaults, and viewer-facing intent.

2
Resolve pulse inputs

Pulser agents fetch the live data or workflow outputs needed for each binding key.

3
Apply Phemar transforms

Phemar stages bind structured pulse data into templates and interpretation layers instead of one opaque prompt.

4
Render through Castr

Castr agents cast the same underlying Phema into the requested viewer format and depth.

5
Re-run with new context

The pipeline can be executed again with new viewers, new data, or new runtime context without rewriting the source object.

Viewer centric adaptation
Sovereign collaboration
Structured Rendering Pipeline

Phema to pulses to Phemar to Castr, with viewer-aware output at the edge.