Monocursive · AI systems engineering

I build complex AI systems that keep working in production.

Agents, MCP servers, durable workflows, product integrations, and deployments—from architecture to observable operation.

Founder of Hubfluencer and Benzaiflow .
Shipping software since 2012.

Discuss your system See systems in production
Operational AI system architecture showing clients, gateway, agent layer, integrations, data, observability, and production signals.
Architecture pattern Designed for operation, not just launch

Proof

Systems in production.

Real products, real users, and the less-visible engineering needed to keep them reliable.

Hubfluencer

In production

One product in. Post-ready creative out.

AI video generation for creators and small businesses. A photo or prompt becomes vertical videos, shorts, and carousels—across mobile, web, and agent workflows.

  • Agents
  • MCP
  • Integrations
  • Production
Surfaces
iOS · Android · Web
Engine
Durable generation workflows
Agent access
MCP server · creator kits
Explore Hubfluencer
Creative workflow Live product
Hubfluencer scene editor showing a generated multi-scene video workflow.
Plan → generate → review
Hubfluencer mobile video library showing generated creative.
Rendered media library

Benzaiflow

In production

Your day, without the dread.

A gentle AI companion that turns a wall of to-dos into a few calm, doable things—then keeps the next move close through chat, calendar, widgets, notifications, and live focus.

  • Per-user agent
  • Durable state
  • Calendar
  • Ambient UI
Surfaces
iOS · Android · Web
Runtime
Agents · Durable Objects
Workflows
Tasks · planning · memory
Explore Benzaiflow
Ambient system Live product

One calm next move, wherever you are.

Benzaiflow notification showing one next move.
Benzaiflow focus widget with pause and done actions. Benzaiflow live activity for an active focus session.

Agent context → useful action → ambient surface

Expertise

From agent behavior to production operation.

One senior builder across the seams where complex AI projects usually break.

01

Agent and workflow systems

Agent runtimes, durable workflows, tool use, review gates, recovery, and human checkpoints.

Agents SDK · state · queues · evaluation · guardrails

02

MCP and product integrations

MCP servers and agent kits that expose real product capabilities through stable, inspectable contracts.

MCP · auth · schemas · APIs · webhooks

03

AI product engineering

Production interfaces and backends where AI is part of the product—not a detached demo.

Web · mobile · realtime · media · data

04

Production hardening and deployment

Idempotency, observability, billing invariants, security, migrations, and releases that survive reality.

Cloudflare · containers · Postgres · CI/CD · tracing

Operating model

Finite scope. Visible state. Honest proof.

I work best where architecture, implementation, product judgment, and release responsibility need to stay connected.

See engagement formats
  1. 01

    Find the real constraint

    Map the product, data, model, infrastructure, and human decisions before choosing an architecture.

  2. 02

    Build the smallest complete system

    Ship a vertical slice with real state, failure paths, review points, and operational ownership.

  3. 03

    Prove it under pressure

    Exercise retries, race conditions, stale state, billing, recovery, and deployment before calling it done.

Depth

Shipping software since 2012.

AI products today, with a decade-plus foundation across energy, e-commerce, fintech, IoT, media, security, and product infrastructure.

  • EDF
  • PrestaShop
  • Lunii
  • Innovorder
  • Combo
  • Mylight Systems

Writing

Notes from the systems.

All writing
01

Demystifying Agents

 02

An introduction to web backends in Rust - Part 2

 03

An introduction to web backends in Rust - Part 1

Have a difficult system?

Let’s make it operable.

Bring the architecture, the failure mode, or the ambitious product. We’ll find the smallest responsible path to production.

Discuss your system contact@monocursive.com