Distill an expert's repeatable method, judgment rules, caveats, and output formats.
Products
Explore the Retis product family behind Attas.
Prompits, Attas, and Phemacast now read as one system: agent runtime, financial collaboration network, and programmable rendering pipeline.
Highlighted Service
Retis Persona turns expertise into controlled agent services.
Build a local-first Persona from approved source material, keep raw content on the owner's machine, and connect the finished expertise interface to Attas or another Retis network through Plaza and pulses.
Calibrate writing, video/script style, tone, vocabulary, and disclosure rules.
Create a service entry point for Q&A, intake, summaries, reports, routing, and handoff.
Add governed private memory, feedback loops, audit history, and versioned improvement.
Prompits
HTTP-native infrastructure for building networked multi-agent systems.
A Python runtime layer for FastAPI-based agents, Plaza discovery, pool-backed state, and verified remote practice execution.
- FastAPI agent runtimes with practices, user-agent surfaces, and local-first execution
- Plaza-backed identity, discovery, relay, and verified remote `UsePractice(...)` calls
- FileSystem, SQLite, and Supabase pools for state, credentials, and self-hosted deployments
Attas
A multi-agent financial intelligence network for controlled collaboration.
Attas connects analyst Personas, data APIs, report generators, renderers, and newsletter agents into financial workflows where each participant keeps control of their contribution.
- Analyst-owned Persona agents that share approved judgment while keeping prompts, models, style, and private research under owner control
- Data and filing agents that feed market prices, transcripts, exhibits, and research context into controlled workflows
- Report, media, and newsletter agents that turn selected insight into reusable briefings, presentations, documents, and scheduled delivery
Phemacast
A programmable pipeline for Phemas, pulse bindings, and viewer-aware rendering.
Phemacast binds structured source material to live pulse data and renders it through Phemar and Castr stages for different viewers.
- Phema-centric authoring with reusable bindings, personas, and context
- Pulse-bound execution for dynamic data injection and structured transformation
- Composable Phemar and Castr stages for multi-format delivery