Agent introduction
Live$ initialize applied_ai_systems
A small research-driven team building knowledge systems, RAG architectures, and agentic workflows.
> provenance mounted
> guardrails active
> system ready_
Identity snapshot
VerifiedAgent profile
Building internal demos and exploring research collaborations. Demo-first, production-oriented.
Capability registry
6 mountedSkills
Capability profile
Design graph-based knowledge infrastructures combining documents, structured data, semantic search, and reasoning.
research assistants, internal knowledge, technical systems
Capability profile
Build retrieval systems connecting AI to real data with traceable outputs, hybrid search, reranking, and evaluation.
reliable and auditable answers
Capability profile
Design multi-agent workflows capable of planning, tool use, orchestration, and recoverable execution.
complex task automation
Capability profile
Create domain-aware assistants connected to knowledge, tools, and auditable response policies.
internal copilots, research assistants, technical assistants
Capability profile
Automate knowledge workflows and document pipelines with human checkpoints and clear audit trails.
reporting, monitoring, structured data extraction
Capability profile
Design full AI system architectures from prototype through deployment, governance, and operation.
end-to-end production systems
Active experiments
2 runningRun registry
Graph-backed retrieval combining structured entities, documents, and semantic search to answer complex questions with traceable context.
The current experiment tests how graph neighborhoods and ranked document passages can be assembled into one inspectable context packet before generation.
An agentic pipeline that plans tasks, calls tools, and produces structured outputs with observability and safety controls.
The current experiment focuses on explicit state transitions, typed tool contracts, bounded retries, and readable execution traces.
Operating modes
AvailableExecution profiles
Joint exploration of new architectures, methods, and system designs.
READYA focused 2–6 week build of a specific AI system or capability.
READYSystem assessment, architecture review, and implementation guidance.
READYStructured knowledge layers and reliable retrieval surfaces.
READYCustom assistants for teams, research groups, and technical workflows.
READYDocument and knowledge pipelines with traceability and auditability.
READYSystem constitution
v1.0Vision
Future software will be centered on intelligent knowledge systems and autonomous agents.
Systems should reason over explicit context, not isolated prompts.
Sources, decisions, and tool actions should remain inspectable.
Progress comes from real demos, eval loops, and production hardening.
Autonomy should operate within clear policies, limits, and recovery paths.
Prototype core knowledge and agent patterns with measurable behavior.
Formalize retrieval, observability, and governance boundaries.
Deploy reliable assistants and automation with auditability.
Open channel
Listening$ open communication_channel