A scrollable node map showing how an Axiom intake ticket becomes a deployed Model Context Protocol server in 72 hours. Every station, every artifact, every shell command in the chain.
Client submits a request in the portal. Routing AI parses the ask, normalizes docs, schemas, and screenshots.
POST /api/intake → { type: 'integration', priority: 'high' }Milestones detected and ranked. Senior engineer assigned. Estimate locked. Client approves before meter starts.
axiom scope --milestones=3 --owner=senior-eng
Staging deploy. Auth shell, error capture, preview URL. MCP gateway boilerplate generated from schema.
axiom scaffold --target=mcp --transport=stdio,http
Proprietary ERP endpoints reverse-engineered. EDI/X12 → JSON translation layer. Vector store seeded.
axiom map --legacy=sage --target=mcp --emit=zod
MCP tools defined with strict schemas. Integration tests against real endpoints. LLM eval harness wired up.
axiom test --suite=integration --against=staging
Push to prod edge. Telemetry online. Runbook handed off. Loop closes. Next intake opens.
axiom deploy --prod · p95=47ms · loop closed
We don't context-switch mid-sprint. Concurrent work runs on its own concurrent track.
Day-one preview URL. Real data over mockups. Polish in the same loop, not in a separate phase.
Codegen, schema diffing, scaffolding, test boilerplate — automated. Humans on architecture and judgment calls.
Axiom Concierge
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Hi — I'm the technical concierge for Axiom. Ask about our pricing, process, request types, or the kinds of systems we build.