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Deterministic Graph Design

Network View

Network View is where NodeFox becomes concrete for end users and builders. You are not drawing a placeholder diagram for another runtime to interpret later. You are authoring the graph that actually executes: nodes, data routes, activation routes, branching logic, bounded loops, parallel branches, and reusable sub-networks on one canvas. NodeFox is in beta, so teams should validate route behavior and review gates before high-impact deployment.

RunStop
Customer Triage Network
GitHubReaderOpenAIConversationRouteDecisionSlackWriterPostgreSQLData
100%
Run #1,247 · 5 nodes · 4 routes[Reader] Starting execution
Conversation Settings
Standard Settings
Name
State
Ready
Variant
Claude
Node Settings
Model
claude-sonnet-4.5
$3/$15
texttext
Temperature
0.2
Slot Labels / Routes
Inputs
1ticket_text
Outputs
1urgent→ Decision

Design complex paths without hidden behavior

Use visual graph composition to define exactly how work moves through your system: sequential paths, policy branches, synchronized merges, retries with fallback, and human approval exits. The core value is legibility. Product, engineering, operations, and governance stakeholders can all see the execution shape and agree on control boundaries before the workflow goes live.

GenericsCustomLogsSchema
Running· customer-triage.nfx

Inspect intermediate state at every step

Debug with run evidence instead of guesswork. Teams can inspect node inputs, outputs, and branch outcomes directly from execution traces, then refine schemas, rules, and route conditions without reverse-engineering hidden callbacks. This is especially important when workflows combine model calls, tools, and external writes.

Build workflows with explicit control

Start with a visual graph, then keep runtime behavior understandable as complexity grows from simple linear paths to branch-heavy operational systems. This is where teams implement activation edges, deterministic branching, bounded loops, and parallel processing as explicit operating logic.