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Products

Products and tools I build

Explore what each product does, how I use it, and the docs, examples, and implementation notes behind it.

Products

Where a product runs behind this site, its row shows a figure read from that system and says whether the number is live or a saved snapshot.

How I divide the work

Product responsibilities

FlexInfer
Private inference operations and model customization
Model lifecycle, OpenAI-compatible proxy, GPU-aware placement, quantization, adapters, OCI delivery, and federation
Docs →Open →
Loom Suite
MCP, context, and agent-fleet coordination
Loom Core, Loom, editor sync, proxy + daemon runtime, memory, Weaver, HUD, RBAC, and sandboxed execution
Docs →Open →
MentatLab
DAG agent orchestration over direct model/API calls
Mission Control UI, flow schemas, DAG planning, run visibility, direct model nodes, and internal-service orchestration
Docs →Open →
fi-fhir
Sensitive healthcare ETL and integration development
Source Profiles, HL7v2 parsing and FHIR output, semantic events, workflow DSL, terminology mapping, and AI-assisted explanations
Docs →Open →
Operating story

From private model to production workflow

Connect private inference to controlled tool access, repeatable workflows, and healthcare integration. Each component has its own deployment requirements and capability limits.

  1. 01FlexInfer

    Operate private model runtimes first

    FlexInfer gives teams a Kubernetes-native control plane for model lifecycle, OpenAI-compatible routing, GPU-aware placement, scale-to-zero activation, quantization, adapters, and model artifact delivery.

    Can this model run, scale, route, and roll back inside our cluster boundary?

    FlexInfer product
  2. 02Loom

    Govern the agent and tool boundary

    Loom and Loom Core turn MCP sprawl into a single governed entrypoint with registry sync, daemon routing, tiered memory, fleet state, sandbox execution, RBAC, audit, HUD visibility, and Mills autonomous delivery pipelines.

    Which agents can reach which tools, with what context, and what audit trail?

    Loom Core product
  3. 03MentatLab

    Compose repeatable DAG workflows

    MentatLab is the mission-control surface for DAG agent orchestration over direct API model nodes and internal services. In this stack, those model calls can target FlexInfer private endpoints instead of a frontier coding harness.

    Can operators design, validate, run, and observe the workflow as a graph?

    MentatLab product
  4. 04fi-fhir

    Apply it to sensitive integration work

    fi-fhir provides healthcare ingestion, transformation, and delivery: Source Profiles, HL7v2 parsing and FHIR output, semantic events, workflow routing, terminology mapping, authenticated durable ingress, and AI-assisted explanations inside a controlled environment.

    Can legacy clinical data become validated, explainable, routable events?

    fi-fhir product
Writing Hub

Read the tradeoffs and postmortems

If you want to see how I think, start with the case studies and writing that explain the decisions behind these products.

Architecture

Architecture snapshots

Diagrams of model hosting, public dashboards, and GPU deployment automation.

Loom Core control plane

Registry-driven client sync, loom proxy ingress, daemon routing, and HUD-backed operator surfaces for private MCP operations.

Loom Core control plane

Loom Core context management

Session-start recall, tiered memory, and prompt-pressure compaction keep agent context bounded and queryable.

Loom Core context management

Loom Core Weaver orchestration

FlexInfer-backed multi-domain routing with curated tool bundles and compound tools for reusable agent work.

Loom Core Weaver orchestration

FlexInfer control plane

OpenAI-compatible proxying, model lifecycle control, and GPU-aware execution inside a private cluster boundary.

FlexInfer control plane

FlexInfer runtime lifecycle

Artifact preparation, cache gating, quantization, and preload behavior that turns model intent into a ready endpoint.

FlexInfer runtime lifecycle

FlexInfer federation surface

GlobalProxy and FederatedModel coordinate cross-cluster reach while keeping runtime execution local to each cluster.

FlexInfer federation surface

Healthcare parsing pipeline

Profile-driven transformation flow for sensitive interoperability workloads.

Healthcare parsing pipeline
Products | Cody Blevins