01 / 03
Customer-facing agents
Chat, WhatsApp, voice, in-product assistants. Wired to your inventory, orders, and accounts, with hard limits on what they can do without a human.
Like Ranger, below.
// AI ENGINEERING FOR FOUNDERS & PRODUCT TEAMS
Get your AI feature
into production.
And keep it there.
We build and operate AI features inside your existing systems. Bring us a scoped project or an ongoing roadmap.
14 years shipping production software · $300M+ moved through systems we built · Front page of Hacker News (470 upvotes) · Top 1% on Upwork
// WHAT WE BUILD
The demo took a weekend. Production is where it stalls.
Real customer data, permissions, edge cases, cost, and the failure modes a prompt can't see. That's the work we take on.
Which AI feature works in your demo and still isn't in front of customers? That's where we start.
Three shapes it usually takes.
02 / 03
Internal workflow agents
Ops, quoting, scheduling, back-office. The work your team does by hand today, with a person approving the steps that matter.
Like the staff copilot behind Mara Hilltop, below.
03 / 03
Decision systems with guardrails
Pricing, trading, routing. Language models where they help, deterministic code wherever money or correctness is on the line.
Like Agent Pear, below.
// PRODUCTION WORK
One built for a client. Two we run ourselves.
All three are live today. Click through to any of them.
Mara Hilltop · our safari lodge · runs on KaribuKit
An AI agent that answers safari guests around the clock.
Ranger handles inquiries on the lodge website, quotes from live availability in the guest's language, and hands staff a ready-to-confirm booking. A staff-side copilot runs reservations, check-ins, and pricing through chat. Confirmation and payment stay with a human by design.
Our own lodge, not a client. We built KaribuKit, the property system underneath, and we live with every edge case.
Visit ↗ KaribuKit PMS · custom MCP server · multi-model
R
Ranger
Mara Hilltop · sample conversation
DEMO
Pear Protocol · Agent Pear · client
An AI agent that stages perpetuals trades from live signals and sentiment.
Agent Pear answers pair and market questions from live on-chain stats and sentiment, then stages long/short positions that execute only after the trader confirms. Live for Pear's retail traders on Telegram and web.
Two years as Pear's engineering partner. $300M+ has traded through the platform we helped build.
Visit ↗ Multi-model DAG · on-chain + sentiment pipeline · confirm-before-execute
Agent Pear · Signal
Sentiment divergence +2.4σ · trade staged, awaiting confirm
SlopIt · publishing · ours
A blog platform where the AI agent is the user.
Prompt to live URL, no human in between. Every post on our blog ships through it.
slopit.publish({
title: "Why remote work wins",
body: "...",
tags: ["remote", "work"]
}) → 200 OK · 142ms
Live at nj.slopit.io/why-remote-work-wins
// HOW IT WORKS
Forward-deployed engineers.
In your repo, your systems, your standup.
AI doesn't fail at the model. It fails where an engineer's assumptions meet how your product and your customers actually behave. Working inside your team is how we close that gap.
01
A real conversation, free
45 minutes with NJ on what you're building and where it's stuck. Where AI helps, where it doesn't yet. No deck, no proposal-by-PDF.
02
Scope it, then ship it
One workflow, agreed acceptance criteria, access sorted up front. Two weeks for a bounded first build, longer when the scope says so. Fixed price, in your repo.
03
We keep going, or we don't
If it works, the next piece on your roadmap. If it doesn't, you're not locked into anything.
// PRICING
Clear pricing. No discovery call to find out what it costs.
For scale: one senior AI engineer in-house runs $300K+ a year loaded, once you've found them. This is a team that has already shipped together, starting when you're ready.
Start here
AI Build Sprint
$12,500
Two weeks to a working AI feature in your environment. One workflow, agreed acceptance criteria, in your repo. 30 days of support after launch.
Bounded scope by design. Multi-system builds, complex permissions, or production-critical paths get scoped and priced on the first call.
If we can't see a clear first build on that call, we'll say so and won't take the sprint.
Start a sprint →Embedded AI Team
$10,000/mo
Two engineers embedded with your team, NJ on technical direction. We own what we've shipped, watch it in production, and work your backlog every month. Two-month minimum, cancel anytime after.
Already have a roadmap? Skip the sprint and start here.
Talk to us →Start with a sprint, or come in with a roadmap. Keep us embedded if it works.
// THE TEAM
No account managers. No layers. You work with the people who build.
Founder & Chief Architect
NJ
Penn State hackathon winner turned Silicon Valley builder. NJ has spent 14 years shipping software for other people's businesses: crypto since 2014, top 1% on Upwork, $300M+ moved through systems he built, and now AI. He also runs a safari lodge in Kenya, and he picks up the phone.
Direct line California · +1 (717) 683-9393 · call or WhatsApp
Senior Engineer & Delivery Lead
Deep
Leads client delivery end-to-end. The person who makes sure your system works in production, not just in a demo.
Senior Engineer & Systems Architect
Pranjal
ex-Swiggy. Our go-to for the hardest problems: Web3 infra, AI systems, anything where “figure it out” is the spec.
Full-Stack Engineer (Design Lead)
Chetan
Full-stack with design instincts. Most of our UI passes through him before it ships — and increasingly the AI integrations underneath it.
Full-Stack Engineer (Backend / Performance)
Hemanshu
Backend-first full-stack. Built a 250 req/sec layer behind one of our hospitality systems. Owns caching, API design, the parts that have to scale under load.
// WRITING
While I slept, a 5-year-old MacBook indexed a year of video locally — front page of Hacker News, 470 upvotes.
// LET'S BUILD
Tell us what you're building.
A few lines on the AI feature or workflow you need in production. NJ reads every one and replies within a business day with a straight answer on whether we're the right team for it.
Best fit: a founder or product team with a specific AI feature to ship and a budget for it. Need a proposal and rollout plan first? Say so. We write those.
Or skip the form Call or WhatsApp NJ at +1 (717) 683-9393. He picks up.
// Thanks — received
We'll be in touch within one business day from nj@simbastack.com.
// Couldn't send
Something went wrong on our end. Email
nj@simbastack.com directly and we'll pick it up.