Qelos
For non-technical founders building with AI

Human in the loop — on the parts AI should not own alone.

You are moving fast with AI. Then auth, infrastructure, and architecture start blocking progress. A senior tech lead stays in your development loop: writes what is genuinely complex, reviews what AI produces, and lets you keep shipping everything else.

Find the right monthly hour block
Non-technical founder building with AI alongside a senior tech lead reviewing architecture on a shared screen

Engagement at a glance

Monthly commitment

10–100 hours

Who you get

Embedded senior tech lead

How you build

AI-first, senior-backed

Where the tech lead steps in hands-on

Architecture & scaleAuth & permissionsInfrastructure & deployComplex integrationsProduction blockers

AI got you moving. Production asks harder questions.

Split view: fast AI-assisted prototyping on one side, production complexity with auth and infrastructure on the other

Non-technical founders can go from idea to working product remarkably fast with AI. That speed is real — until production asks questions AI cannot answer alone: who can access what, how data flows between services, what happens when traffic grows, and what breaks when an integration fails.

Tech-lead-in-the-loop is the middle path. Not a full agency takeover. Not DIY roulette on architecture you will have to rebuild. A senior practitioner embedded in how you already work.

You keep shipping. We own the cliff edges.

Diagram showing founder with AI handling product features while senior tech lead owns architecture, infrastructure, and complex code paths

You bring product vision and AI velocity. The tech lead owns architecture decisions, writes complex core code, reviews changes at system boundaries, and steps in when scale or infrastructure block progress. Everything else — you keep building.

When something is stuck and needs real engineering judgment, there is a hands-on expert in the loop. When it is straightforward, AI and you handle it. That is the model.

Senior judgment without staffing a dev team

Enough monthly coverage to matter — not so much that you are paying for a team you do not need.

Code What AI Should Not Guess

Auth, permissions, multi-tenant boundaries, infrastructure, and integration glue — a senior engineer writes the parts where shortcuts become outages, not demo polish.

Stay in Your AI Loop

The tech lead works inside your tools and codebase, not in a separate silo. Reviews AI output, guides architecture decisions, and unblocks you when progress stalls.

Let AI Handle the Rest

CRUD, UI scaffolding, tests, and boilerplate — keep your AI velocity on work that is bounded and reviewable while senior judgment protects the foundation.

Right-Sized Monthly Packages

Choose a monthly hour block from 10 to 100 hours. Enough senior coverage to keep production risk in check — without the overhead of hiring a full development team.

How tech-lead-in-the-loop works

Four phases — from AI-assisted building to production-ready shipping with senior ownership on the hard parts.

1

You build with AI

Drive product forward with AI-assisted development — features, UI, and scoped work at the speed you are already used to.

2

Tech lead stays in the loop

Embedded review, architecture guidance, and alignment on what AI should and should not own in your codebase.

3

Complex parts get hands-on code

When auth, infrastructure, integrations, or scale need real engineering — the tech lead writes it, not a prompt.

4

Ship without rebuilding

Keep AI speed on the product surface. Ship with a foundation that does not need to be torn down at launch.

Find the right monthly hour block

Tell us what you are building, how you are using AI today, and where you are stuck. We will recommend a package and show you what the tech lead would own versus what you keep shipping yourself.

10–100 hours per month
Senior tech lead embedded in your AI workflow
Hands-on code on architecture, infra, and blockers

Get in touch

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