Research the architecture
Clarify trusted state, commands, authority, failure, and completion before they become infrastructure.
Agentic systems research and engineering
The architecture behind serious agentic systems.
Semantiv works with ambitious technical teams when the agentic architecture itself is the hard problem.
State-driven behavior Typed effects Explicit authority Verifiable completion
01 / Thesis
The model proposes. The machine commits.
Render the agent from trusted state.
The program—not the conversation—should determine what the model can do and whether the work actually completed.
Architecture study / 001 Thesis + implementation direction
- 01 Trusted state Investigating
facts + authority - 02 Rendered stance Inspect evidence
prose + commands - 03 Model proposal readEvidence
typed input - 04 Machine commit EvidenceRead
verified reply - 05 Next state ReadyToSubmit
re-render
agent stance = render(trusted machine state)
02 / Practice
One practice
Research, architecture, and engineering.
Build the system
Turn the architecture into a production path with typed effects, explicit boundaries, and runtime evidence.
Open the foundations
Develop reusable Effect-native primitives in public where a shared programming model creates leverage.
03 / Work
Selected relationships
When the usual agent stack stops being enough.
Semantiv takes on architecture mandates, focused build programs, and embedded R&D partnerships for consequential systems.
How we workOpen inquiry
What part of the system remains unresolved?
Start with the state, authority, execution, or completion boundary that generic tooling does not answer.