LLM workflows & agents
Agents that use tools, look things up, and get real tasks done, with the checks and approvals that keep them from going off the rails.
02 / NNCODE · WORKING WITH US
Your development team, without hiring one.
NNCODE is a lean AI engineering studio, founded and led by Nicolai Nielsen, with 8+ years of building AI products for solo founders, startups, bigger companies, and enterprises. We handle all of it: frontend, backend, AI, and data. Instead of hiring a developer, or a whole team, you work directly with the people who build your system. It's often cheaper than even one full-time hire, and it moves a lot faster than you'd expect.
WHAT WE BUILD MOST
Three things we spend most of our time on.
AI INTEGRATIONS
Making your systems usable by AI agents.
We turn the systems you already have into tools AI agents can use, safely.
More details
Most companies already have the data and systems AI needs. They just aren't built for agents to use. We take what you have, like your CRM, database, internal APIs, and docs, and turn it into clean tools that Claude, ChatGPT, or your own agents can use directly and safely.
- MCP servers and tool APIs on top of your existing systems
- Clear permissions, so agents only touch what they should
- Every call logged, so you can always see what the AI did
Fig 2MCP tool wall
Watch, or press a tool
4 systems · 3 tools granted · 0 calls
Fig 1Agent on a rack
Watch, or press a button
agent ready
FULL-STACK APPS
Full-stack apps for real people.
You tell us how you work. We build the app your team actually needs, start to finish.
More details
A lot of our favorite projects start with someone saying "I spend hours every week on this." We turn that into software your team actually likes using. You don't need to know anything technical. You tell us how you work, and we build the frontend, the backend, and everything in between.
- Simple, clear UX for non-technical teams
- Dashboards, internal tools, forms, and customer-facing apps
- AI built in where it actually helps, not everywhere
Fig 3Full-stack app
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idea · 0 of 4 layers in
AN AGENT LAYER ON YOUR BACKEND
Turn your backend into an agentic system.
Turn the backend you already have into an agentic system, with an agent layer on top. No rewrite.
More details
Your backend already knows how to do the work: create the order, update the customer, send the invoice. We put an agent layer on top of it, a gateway that checks every request, tools for the actions you already support, queues for long-running jobs, and a human sign-off where it matters. Your systems keep running as they are; agents just get a safe way to use them.
- Agent gateways with validation, scoped keys, and human approval
- Integration layers over legacy systems, no rewrite needed
- Queues and workers for long tasks, with tracing and cost tracking
Fig 5Agent gateway
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idle · 3 of 3 tokens · 30 req/min
Fig 4Agent console
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idle · waiting for a task
LLM integration & AI agents
RAG, agents that use tools, structured workflows, and making sure it all actually works in production.
How we build with LLMs 02 / WHERE NNCODE STARTEDComputer vision
Detection, tracking, datasets, video analytics, GPU optimization, and edge deployment.
How we build vision systemsWhat you get
Systems that act, and pay for themselves.
A dashboard someone has to read is a cost. The systems we build recommend the next step, or take it with your approval, and every one comes with an estimate of what it saves.
A passive systemAn active system
Shows a forklift came close to a person.Alerts the floor lead, logs the clip, and recommends a barrier at that crossing.
A dashboard with this week's jams.Spots the lane that jams most, tells the shift lead why, and creates the maintenance task.
An inbox of quote requests.Reads each one, prices it with your rules, and drafts the reply for a planner to approve.
A report of damaged pallets.Attaches photos to the shipment and drafts the claim to the carrier.
- 01
Start from the cost
Hours spent, errors made, claims lost, stops on the line. We measure today's number before building anything.
- 02
Estimate before building
A rough return for each idea up front, so you choose the ones worth doing first.
- 03
Ship a small first version
One camera, one inbox, one team. Real savings in weeks, not a year-long project.
- 04
Measure what it saves
Every action is logged, so the return is a number you can check, not a promise.
Why lean works
Why a lean team can beat a big one.
Fewer people, fewer handoffs, and the people you talk to are the ones building it.
You talk to the builder, not an account managerWhen you message us, you're talking to the people actually writing the code. No account managers, no telephone game, no "let me check with the team".
No layers, no handoffsPut a big team on one product and a lot of the week goes into syncing, handing things over, and redoing each other's work. We keep the team lean and senior, so that time goes into building instead.
AI agents do the heavy liftingAI coding agents write a lot of the code now, and they're fast. That means more people on a project often slows it down. Our job is the architecture, the reviews, and the calls that need experience.
Cheaper than even one hireCompared to hiring even a single full-time developer, you skip the recruiting, onboarding, benefits, and paying for quiet weeks. And instead of someone who covers one part of the stack, you get a team that covers all of it.
Why lean, AI-first teams ship faster Fig 6Team or lean
Watch, or press team or lean
5 people · 10 lines to keep in sync
WHAT YOU'RE ACTUALLY PAYING FOR
Cheaper than one employee. Way cheaper than a big team.
People usually compare us to a full in-house dev team, but working with NNCODE is often cheaper than hiring even one full-time developer. With an employee you pay for recruiting, onboarding, benefits, and every week of the year whether there's work or not, and they usually cover one part of the stack. With us you get the whole stack, and you mostly pay for the actual building.
Fig 7Where the money goes
1 team · 2 employee · 3 nncode
team · 16% to building · illustrative
WHY EXPERIENCE STILL MATTERS
AI didn't make everyone a 10x engineer.
A lot of people and companies have tried to build things themselves with AI coding tools. It usually goes great for the first 80%, and then gets stuck on the last 20%: security, data, edge cases, deployment, and keeping it running.
That's not a knock on anyone. The tools amplify what you already know. Without a software background, AI makes you a 1x engineer. With 8+ years of building software behind it, the same tools become a 10x to 100x multiplier. That gap is what you're really hiring for.
Fig 8Experience gearbox
1 novice · 2 senior · 3 crank · illustrative
1:1 vs 1:10 to 1:100 · illustrative
AND A FEW MORE THINGS
Other things we build a lot.
Data integrations
Your CRM, ERP, databases, spreadsheets, and third-party APIs, connected into clean pipelines your product and models can rely on.
Computer vision
Detection, segmentation, tracking, OCR, and video analytics, running on GPUs or small edge devices. It's where NNCODE started.
Prototypes & second opinions
Got an idea and want to know if it's doable? We'll build a quick prototype and tell you honestly what it would take to go further.
WHERE THE VALUE USUALLY IS
Savings are the easy win.
Everyone asks how AI can grow revenue, and sometimes it can. But the quicker win is usually cutting costs: automating the manual work, and replacing the stack of tools you pay for per seat with one that does exactly what you need.
Revenue is uncertain. Savings go straight to the bottom line. And honestly, we don't think anyone should care whether we use AI or not. What matters is how much value you get, how fast, and what it costs you.
Fig 9Build, not subscribe
1 seats · 2 build
5 seats · 30 coins/mo · illustrative
WHO WE WORK WITH
From solo founders to enterprise teams.
Whether it's just you with an idea, a startup getting its first product out, or a big company adding AI to systems that already run, we work the same way: directly with you, building the real thing.
Fig 10From solo to enterprise
1 solo · 2 startup · 3 scale-up · 4 enterprise
solo founder to enterprise · 4 scales
LLM SYSTEMS
The model is just one piece.
Good LLM products mix flexible reasoning with solid permissions, validation, monitoring, and a plan for when things go wrong. That whole loop is what we build.
HOW WE'D WORK TOGETHER
Chat. Prototype. Build. Keep improving.
- ChatWe hop on a call, you tell us what you're trying to do, and we tell you honestly if we're the right fit for it.
- PrototypeWe build something small that works, fast, so we can both see if the idea holds up before you spend real money.
- BuildWe build every layer: frontend, backend, AI, and data. AI coding agents do the heavy lifting, and experienced engineers make every decision and review every change.
- Keep improvingOnce it's live, we stick around. New features, fixes, the next tool you need. Like having your own development team that knows everything you've built, without the cost of hiring one.
QUESTIONS PEOPLE ASK US
The honest answers.
Can't we just build it ourselves with AI tools?
Maybe! If someone on your team has real software experience, AI tools will make them a lot faster. If not, it usually ends with a demo that almost works and nobody who knows how to finish it. We're happy to give you an honest take on which situation you're in.
We're not a tech company. Is this for us?
Probably, yes. For non-tech companies it's usually internal tools, automations, and integrations that save people time every week. You don't need to know anything about software, that's our job.
Is this a one-off project or ongoing?
Whatever fits you, but the real value is in working together over time. Think of it as having your own development team that knows your whole system, without having to hire one. New features, AI tools, fixes, the next internal tool you need: it all goes through the same people who built the rest.
Isn't it risky to work with a small team?
Fair question. Everything we build is clean, documented, and yours: the code, the accounts, the infrastructure. You're never locked in to us. And compared to hiring, the risk is a lot lower: no months-long hiring process, no guessing whether a new hire works out, and you see working software within days.
How does the cost compare to hiring?
Honestly, it's often cheaper than hiring even one full-time developer. No recruiting, onboarding, benefits, or paying for quiet weeks, and instead of someone who covers one part of the stack, you get a team that covers all of it. Compared to a big agency or in-house team, the difference is even bigger.
Who will we actually work with?
NNCODE was founded and is led by Nicolai Nielsen, who has been building AI systems for 8+ years and teaches 126,000+ engineers on YouTube. You work directly with the people who build your system, from the first call to everything after. We keep the team lean on purpose: with AI coding agents, fewer experienced people ship faster than a big team.
Let's talk
Got something you want to build?
Tell us about it. You talk directly with the person who builds it, from the first chat to everything after.
- Reply within a day
- Straight to the builders
- No obligation
NNCODEAI engineering studio · founded by Nicolai Nielsen