Helfer Devs  //  AI & Automation Studio

We build the stuff
that builds
your business.

Websites, AI agents, and automations — shipped by a small team that treats every project like a rewireable graph. If it can be automated, we'll wire it up.

System Accepting new engagements
Last ship 2h 14m ago
Avg. kickoff 48 hours
Coords 51.9607°N, 7.6261°E
Websites✦ AI Agents✦ Automations✦ Custom LLM tools✦ n8n / Make / Zapier✦ RAG pipelines✦ Chatbots✦ Internal tools✦ Integrations✦ Voice agents✦ Websites✦ AI Agents✦ Automations✦ Custom LLM tools✦ n8n / Make / Zapier✦ RAG pipelines✦ Chatbots✦ Internal tools✦ Integrations✦ Voice agents✦
01 / Services

Every node you need, wired together.

One team, one graph. Websites, agents, and automations that actually talk to each other — because they were built that way from day one.

01 · website

Marketing & product sites that load, convert, and stay alive.

Framer-speed, Webflow-flex, or fully custom React. We don't just ship — we instrument every click so you know what's working.

Next.js Framer Webflow Astro Shopify
02 · agents

AI agents that actually do the work.

Research, outreach, support, qualification. We design the graph, pick the tools, and tune until it stops hallucinating.

Claude GPT-5 LangGraph Tool-use
03 · automations

The glue between your tools.

n8n, Make, Zapier, custom Node workers. If two apps need to talk, we make them talk.

04 · chatbots

Chatbots that know your business.

RAG over your docs, CRM, and knowledge base. Deployed to your site, WhatsApp, Slack, or anywhere else your customers live.

RAG Vector DBs Multi-channel
05 · full-stack

Custom AI-native products.

You bring the idea. We bring the stack, the shipping muscle, and the weird creative ambition. 0 → 1 in weeks, not quarters.

MVP SaaS Internal tools
06 · ops

Keep it running.

Retainers, monitoring, model swaps when the landscape shifts. We don't disappear after launch.

SLA Observability On-call
02 / Live build

Watch a site build itself.

This is roughly what we do, but on a loop and without the Red Bull. Hit pause at any step to see what's happening under the hood.

01Parse brief0:03
02Generate sitemap0:02
03Draft content0:08
04Design system0:05
05Assemble pages0:12
06Wire automations0:07
07Deploy to prod0:04
helferdevs.build/demo/
v0.1.001
source
Get started
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02
03
04
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02.5 / Automations

Your tools, finally talking.

This is roughly what a live engagement looks like — triggers fire, AI thinks, actions ship. Drag-connectable in real life, watch-only here. Every 2s a real data packet flows through the graph.

workflows/inbound-lead.json
100%
42 nodes
Live · runs/hour 187
⚡
Webhook
TRIGGER · on /inbound
method POST
auth ✓ signed
⎒
Enrich · Clearbit
HTTP · GET
lookup email → company
◳
HubSpot · find
CRM · READ
match by domain
✦
Claude · Qualify
AI · tool-use
score 0..100
draft reply tone ✎
◇
Route · score
IF · ≥ 70
hot → sales
cold → nurture
#
Slack · #sales
NOTIFY
post lead card
✉
Resend · reply
SEND
template ai-draft-v3
12,847
Runs / month
1.8s
Median p50
99.7%
Success rate
46
Tools wired
03 / Process

Small team. Big graph.

We work in loops, not waterfalls. Every phase ends with something you can click, break, and react to.

01 / scope

Find the bottleneck.

A free working session. We map your workflow as a graph and mark the nodes where time and money leak.

48h
02 / prototype

Ship a rough draft in week one.

Real code, real endpoints. Ugly, but working. You poke it, we iterate.

1 week
03 / build

Harden, polish, instrument.

Error handling, observability, design polish. All the stuff that separates a demo from a system you can bet on.

2–4 weeks
04 / launch

Go live, stay alive.

Deploy, train your team, hand over the keys. Or we stay on as the on-call team.

ongoing
04 / Work

Ten things we actually shipped.

Production systems in the wild — from WhatsApp sales bots to carrier-level SMS engines to multi-agent research platforms. Pick a category to filter.

Case · 01 · AI Platform QUINN research strategy compete persona trend creative
Marketing Intelligence2025

Swiftly — an autonomous AI agent named Quinn that turns a natural-language request into production-ready marketing intelligence.

Claude Agent SDKAWSRDSMulti-agentFull-stack
Hours → min
research time
100+
orchestrated agents
Zero
manual handoff
myswiftlyapp.com
Case · 02 · SaaS MRR $15K+ ▫ FB ADS ▫ GOOGLE ▫ YAHOO ▫ WORDPRESS AI
MarTech SaaS2025

Go Agents — multi-agent platform that runs end-to-end ad campaigns across Facebook, Google & Yahoo.

Next.jsFastAPIKafkaGemini
$15K+
MRR
50+
agencies
3×
growth trajectory
go-agents.io
Case · 03 · SMS Engine 250+ ROTATING DOMAINS <50ms redirect
SMS Marketing2024

Optimizer — carrier-validated SMS platform with a self-optimizing scoring engine and edge-speed link tracking.

Cloudflare WorkersFastAPIPostgresAWS
+150%
throughput
1,000+
daily batches
<50ms
edge latency
optimizer.scalepilot.one
Case · 04 · Automation Webflow Make Airtable Canva RESEARCH → ASSET PIPELINE 100+ hierarchical agents
Marketing Agency2024

No-code MVP that turns a research request into publish-ready Canva assets — no human hands in between.

WebflowAirtableMake.comOpenAI
Hours→min
research time
100+
agents
0
manual steps
Case · 05 · Chatbot Hola, precio de parquet? ¡Claro! Te comparto el catálogo → 📎 catalogo.pdf 2.1 MB Quiero agendar una visita ✓ lead captured
Retail · Wood2024

La Madera WhatsApp bot — handles the full sales inquiry from first message to showroom visit.

OpenAIMake.com360 MessengerWhatsApp API
24/7
availability
0
human handoffs
Auto
lead capture
Case · 06 · RAG DOCUMENT-GROUNDED · RBAC
Institutional2024

UNGSTROM — governed RAG chatbot bound to approved docs, with role + department access control.

FastAPINext.jsChatbaseVercel
0
hallucinations
RBAC
backend-enforced
Multi
department-aware
Case · 07 · Backend GET /geo/nearest POST /users POST /pdf/brief POST /email/send POST /stripe/pay GET /questions 6 DOMAINS · 1 FASTAPI BACKEND
Legal Services2024

Briefbase — one unified FastAPI backend: geo-search, dynamic PDF briefs, Stripe, email, and smart question filtering.

FastAPIPythonStripeVercel
6
domains
1
coherent API
∞
PDFs on demand
Case · 08 · Marketplace 100cm ⌀ 12mm bend REBAR DESIGNER $30M+ orders generated
Construction2024

Easybar — full-stack SaaS marketplace to design, quote, and order custom iron rebars online.

ReactKonva.jsNode
$30M+
orders/yr
1,000+
users mo 1
Contech
incubator
app.easybar.co.il
Case · 09 · Data SFTP BigQuery Excel pandas clean · merge Postgres
Retail · Metro AG2023

Metro-360 — data ingestion pipeline unifying SFTP + BigQuery + vendor data into one filterable dashboard.

DjangoPostgresPandasReact
M+
records
1
source of truth
Excel→
dashboard
Case · 10 · Fintech BALANCE $4,280 Salary +$2,400 Rent -$1,200 Groceries -$164 Freelance +$540
Fintech2024

Personal Finance App — clean full-stack budgeting tool with Chart.js, Prisma, and persistent state.

Next.jsPrismaPostgresRedis
Real-time
balance
Responsive
mobile↔desktop
0
design handoff bugs
05 / Capabilities

A stack that lets us move at founder speed.

We're stack-fluent, not stack-dogmatic. We pick what fits the job, not what's trending on Twitter this week.

Claude Next.js TypeScript Python n8n Supabase Postgres Pinecone LangGraph Vercel Cloudflare Stripe Retell Twilio Figma Framer
07 / Feedback

Clients keep coming back. That's the review.

"

I've had the pleasure of working with Zohaib on the development of Swiftly, an AI-powered strategic marketing platform built on AWS, Vercel, Supabase, Stripe, and the Anthropic API. He joined the project during its foundational stage and has been instrumental in bringing the product from concept to a functional, multi-agent system.

Zohaib built the core system architecture connecting our frontend, database, billing, and AI layers — and then went deeper, helping construct the agents that power Swiftly's research, planning, and content production workflows. What sets Zohaib apart is his combination of technical range and genuine investment in the product. He doesn't just execute tasks — he thinks through the problem, communicates clearly, and brings ideas to the table.

I'd recommend Zohaib to any founder or team looking for a developer who can operate across the full stack and contribute meaningfully to product direction.

AWSVercelSupabaseStripeAnthropicMulti-agent
AK
Adam Kaps
Founder & CEO · Swiftly
"

I really enjoy working with Zohaib. He's been working with us on AI agent projects over the last year — great full-stack developer with good understanding of both backend and frontend as well as AI and advanced prompt engineering. Always great communication skills and delivery time, and always eager to learn. It's a pleasure to be working together!

LS
Lena Shakurova
Founder & CEO · Pars Labs
"

The team is very happy. They have used the Automated Sending for the last 2–3 days … with great results. Monday back at €20K. 🎯🔥🚀

FM
Finderup Michael
Founder · Zentropix AI
08 / FAQ

You've got questions.

What does a project cost?

Projects typically start around $4k for a scoped automation and run to $40k+ for a full AI-native product. We quote in fixed phases so you never sign a blank check.

How fast can you start?

Usually within 48 hours of the first call. We keep 20% of our team's capacity reserved for new engagements so we don't make you wait.

Do you work with non-technical founders?

All the time. We translate vague ideas into working systems and leave you with docs a human can actually read.

What about ongoing maintenance?

Retainers start at $1.5k/mo and scale with traffic + model usage. We also do project-based, if you'd rather keep things lean.

Do you use templates or build from scratch?

Both. We have internal scaffolds for common patterns (RAG, agents, dashboards) that let us skip the boring parts — everything custom-facing is built fresh.

Who owns the code?

You do. Every repo ships to your GitHub org at the end of the engagement. No lock-in, no weird licensing.

09 / Contact

Have a problem?
Let's wire it up.

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