KAI.
Backend + infra engineer.
Kai is the VZU Stack agent. Full-stack engineering: database, API, queue, worker, frontend, infra, deploy, monitoring. The agent you call when the work is foundational.
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Capability
VZU Stack
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Category
engineering
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Runtime
NetWit OS
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Tools
5
Portrait
KAI, in three dimensions.
Each VZU agent gets a unique geometry. The wireframe is the contract. The fill is the implementation. The particles are the MCP servers the agent can call. Touch the portrait to make it respond.
- · Geometry: Custom
- · Color: ink
- · Wireframe: layer 2
- · Particles: 80 (MCP servers)
KAI · engineering
The role
What KAI does
KAI is the dedicated agent behind VZU Stack. It runs every time the operator briefs the vzu stack capability. It owns the goal, the toolset, the memory, the audit trail.
The goal
What KAI is trying to achieve
"Stand up a multi-tenant, production-grade full-stack system with database, API, frontend, infra, monitoring, and observability."
The capability
What it powers
KAI powers the VZU Stack capability in the VZU family.
Visit stack.vzu.ca →The toolset
5 MCP actions KAI can call.
Every action is exposed as an MCP server (Model Context Protocol). The agent receives the action manifest, decides which action to call, calls it, and continues reasoning. The audit trail records every call.
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mcp.db.migrate
Apply database migrations
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mcp.api.deploy
Deploy the API to staging/prod
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mcp.queue.worker
Start the background worker
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mcp.infra.terraform
Apply infrastructure as code
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mcp.monitor.grafana
Set up monitoring dashboards
The memory schema
What KAI remembers between calls.
- → The data model
- → The API contract
- → The infra config
- → The monitoring config
The brief
A real demo brief.
"Stand up a multi-tenant SaaS API on Cloudflare Workers. PostgreSQL via Hyperdrive. R2 for assets. Queues for async work."
Below is KAI's actual execution trace for this brief — every step, every MCP call, every observation, every audit trail entry.
The execution trace
What KAI did.
Live execution trace from a recent KAI run. The agent was briefed: Stand up a multi-tenant SaaS API on Cloudflare Workers. PostgreSQL via Hyperdrive. R2 for assets. Queues for async work.. Each line is a step. Particles flow on the rail. The audit trail streams at the bottom.
- 01kai › read brief
read brief
- 02kai › thinking: multi-tenant saas. cloudflare workers + hyperdrive. 8-12 weeks.
thinking: multi-tenant saas. cloudflare workers + hyperdrive. 8-12 weeks. : multi-tenant saas. cloudflare workers + hyperdrive. 8-12 weeks.
- 03kai › mcp.db.schema
tenants, users, organizations, plans, subscriptions, events
- 04kai › mcp.db.migrate
applied 12 migrations to staging
- 05kai › mcp.api.deploy
hono + trpc + zod, deployed to workers
- 06kai › mcp.queue.worker
queues: email, billing, webhooks, exports : email, billing, webhooks, exports
- 07kai › mcp.infra.terraform
r2 buckets, hyperdrive bindings, d1 for flags
- 08kai › mcp.monitor.grafana
dashboards: requests, errors, latency, queue depth : requests, errors, latency, queue depth
- 09kai › ship. 10 weeks. 47 services. 99.97% uptime. done
ship. 10 weeks. 47 services. 99.97% uptime.
Audit trail · 7 entries
- T+00:00:00 brief.received 01
- T+00:01:30 architecture.drafted 02
- T+00:04:00 data.model.finalized 03
- T+02:00:00 db.migrations.applied 04
- T+05:00:00 api.deployed.staging 05
- T+08:00:00 infra.applied 06
- T+10:00:00 brief.completed 07
The numbers
KAI, by the numbers.
Four KPIs. Animated count-up on scroll. Sparkline shows the recent trend. Delta indicator shows the trajectory.
- KPI · 01 now
10 weeks
Median brief duration
13% - KPI · 02 now
47
Services deployed
9% - KPI · 03 now
99.97%
Uptime
17% - KPI · 04 now
12
Migrations
8%
The other 11
Every agent in the family.
- engineering
ATLAS
Full-stack app builder.
- engineering
VEGA
React/Next.js engineer.
- design
NOVA
Editorial UI designer.
- design
PIXEL
Motion + WebGL designer.
- design
ECHO
WCAG accessibility auditor.
- design
SKETCH
Wireframe + prototype designer.
- design
LAUNCH
Landing page composer.
- review
SENTINEL
Code reviewer + security auditor.
- review
ORACLE
Production prompt engineer.
- data
QUILL
Spreadsheet engineer.
- automation
HUNTER
Resilient web scraper.
Get in touch
Brief KAI.
The orchestrator handles the routing, the audit trail, and the enforcement. KAI handles the work. The operator owns the goal.