Enterprise Agent Infrastructure

Multi-agent AI
infrastructure
for enterprise workloads.

Specialized agent teams, each isolated in dedicated Firecracker microVMs, orchestrated by a lead agent that decomposes tasks and coordinates execution. Real-time observability into every action. Built for organizations whose work cannot run on shared infrastructure.

Inquire By invitation. We work with a limited number of partners and clients.
Director's Console — Fullstack Session 3 agents active
Lead Agent
→ Analyzing requirements: E-commerce checkout with Stripe
→ Spawning: frontend-agent, backend-agent, infra-agent
→ All specialists deployed on isolated VMs
LEAD
Frontend Agent
→ app/layout.tsx
→ components/ProductCard.tsx
→ components/CheckoutFlow.tsx
72%
Backend Agent
→ src/db/schema.sql
→ src/routes/payments.ts
44%
Infra Agent
→ wrangler.toml
28%
$ Give direction...  
Architecture

What we've built.

Production infrastructure for multi-agent orchestration. Every component exists because we hit a real constraint.

Lead agent task decomposition
Lead agents parse complex tasks, classify work into specialist domains (frontend, backend, infra, research, analysis), and dispatch sub-agents in parallel. Each sub-task description is self-contained with file paths, framework choices, and acceptance criteria.
Per-agent Firecracker isolation
Every agent runs in a dedicated microVM via Fly.io Sprites. Per-tenant filesystem, per-tenant network, no shared state across customers or sessions. Memory and CPU limits enforced at the hypervisor level.
Persistent agent state
Agents checkpoint and restore from template snapshots. Long-running work survives orchestrator restarts. Agent file outputs persist on their VM until explicitly cleaned up.
Real-time SSE event streaming
Every orchestration step emits a typed event: spawn, bootstrap, online, progress, complete, error. Events are persisted with auto-incrementing IDs, replayable from any client reconnection. Full audit trail per task.
30-minute task ceiling per sub-agent
Tasks longer than 30 minutes are flagged, with sprite-level recovery for in-progress work. Output files remain accessible on the agent VM after timeout. The orchestrator logs elapsed time on every successful completion for threshold tuning.
HMAC-SHA256 signed tokens
Authentication uses signed tokens, not bearer credentials. Per-endpoint rate limiting (10/min auth, 30/min agent operations). SSE streams authenticate via query parameter since EventSource cannot set headers.
Agent-to-agent payment infrastructure
Integration with Plannt, an L402/Lightning payment protocol, will enable agents to settle work between organizational boundaries without traditional banking infrastructure. In development.
Agent Roles

Specialist teams.

Each engagement deploys a lead agent plus the right specialists for the workload. These are the roles currently available or in development.

Available
Fullstack
Deploy

A lead agent architects the application, then spawns frontend, backend, and infra specialists. Three agents build simultaneously on isolated VMs. Live observability via the Director's Console.

Frontend
82%
Backend
61%
Infra
45%
Inquire →
In Development
Data
Pipeline

A lead agent designs the pipeline, spawns an ingestion agent, a transformation agent, and a visualization agent. Outputs a live dashboard connected to your data source.

Ingestion
—
Transform
—
Visualize
—
In development
In Development
Content
Studio

A lead agent plans the content calendar, spawns a research agent, a writing agent, and a publishing agent. Outputs finished articles deployed to your CMS.

Research
—
Writing
—
Publish
—
In development
In Development
DevOps
Fleet

A lead agent audits your infrastructure, spawns a CI/CD agent, a monitoring agent, and a security agent. Outputs a hardened deployment pipeline with observability.

CI/CD
—
Monitor
—
Security
—
In development
Engagement

How we work.

Three phases. No rate cards. Each engagement is scoped to the problem.

01
Inquiry

Email describing your workflow and constraints. We respond within one business day to scope a discovery conversation.

02
Discovery

A 2-3 week proof-of-concept built on your specific workflow, deployed in a sandbox environment. You get a working agent team plus a roadmap document. This validates whether the architecture fits your problem before larger commitment.

03
Engagement

Custom build, integration, training, and ongoing operation. Engagement structures are tailored to each client.

Pricing is custom and reflects scope. We do not publish rate cards.

Who This Is For

You know if this is you.

Operations teams whose workflows AI could automate, but who cannot send customer data to shared cloud LLM tools.
Engineering teams that need agent infrastructure with audit trails strong enough to pass enterprise security review.
Organizations exploring multi-agent workflows that exceed what single-agent assistants like Cursor or Copilot can deliver.
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Agents deployed
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Tasks completed
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Events last 24h
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Built on
Contact

Get in touch.

To inquire about an engagement, email hey@dansanchez.com with a brief description of what you're trying to build or automate. We respond within one business day.

hey@dansanchez.com