3–7 days
to your first live workflow
AI automations that save hours — and keep running.
n8n workflows, AI agents and integrations for small businesses and agencies. Fixed price, live in 3–7 days, with retries, fallbacks and alerts built in — so nothing fails silently.
Book a free scoping call n8n / AI agents / Integrations
6
systems running in production
You own it
your instance, keys and code
Try to break it
Click any stage to make it fail. The run retries, switches to a backup and still finishes.
Run 0142 — awaiting fault injection
00.0 run 0142 started — trigger received
00.2 stage marked failed — upstream timeout (504)
00.2 retry 1 of 3 scheduled — backoff 2s
02.3 retry 1 failed — same error class, backoff 4s
06.4 retry 2 failed — escalating to fallback
06.5 fallback provider engaged — secondary route
07.1 stage recovered — output validated against schema
07.2 alert sent — ops channel, failing payload attached
09.4 run 0142 completed — 1 fault recovered, 0 records lost
Log — planned path, 0 of 9 lines executed
Faults 0
Retries 0
Records lost 0
n8n workflow build
Lead routing, CRM sync, document processing and reporting — on your own server or in the cloud.
from $400 3–7 days / where most clients start
AI agent development
Agents that answer from your data, work through multi-step tasks and use your tools — with guardrails and an evaluation pass before launch.
from $1,500 / 1–3 weeksCustom API integrations
Connect the tools you already use: REST, webhooks, GraphQL, even legacy systems with no SDK.
from $600Lead-qualification chatbots
They ask the right questions, hand your sales team a structured lead and log every step.
from $800Data extraction & enrichment
Scrapers and data pipelines with deduplication, retries and proxy rotation, delivered as a clean database you can query.
from $500Automation retainer
Drop requests into a queue instead of quoting each one. Monthly system audit and a direct line to your engineer.
from $1,200/moReal systems, real numbers
Six products in production, plus a client build. Client names stay private; every number comes from a live system. Open a row to see how it works.
01 Niche-intelligence SaaS 2 sources / 6 scoring axes / daily digest
The problem
Good product ideas were buried in community threads nobody had time to read.
What we built
Two sources pulled in nightly, every signal scored on six axes, compiled into one daily digest.
Where it stands
Ships every day, with a paid tier. n8n, Python, Postgres, LLM scoring.
02 Multi-agent research pipeline 7 rounds / 30+ page reports / ~$0.05 per run
The problem
Single-model reports sounded confident and cited sources that didn't exist.
What we built
A seven-round pipeline that cross-checks different model families and verifies every citation.
Where it stands
In production at about five cents per report. Python, OpenRouter, Claude, GPT.
03 Property sellability scoring engine 49 tests / 4 dimensions / self-cleaning inputs
The problem
Scores quietly drifted as input data changed, and nobody noticed until they were wrong.
What we built
A four-dimension score with an anti-drift layer and 49 regression tests on every deploy.
Where it stands
Live and cleaning its own inputs. FastAPI, Postgres, Python.
04 AI lead-qualification bot 3 steps / 24/7 with quiet hours / 6 tracked events
The problem
Inbound leads got slow replies and reached sales as walls of unstructured text.
What we built
A three-step qualification flow that hands sales a structured lead in real time, with six tracked events.
Where it stands
Answers 24/7 and respects quiet hours. n8n, Telegram Bot API, LLM.
05 Due-diligence report bot minutes, not hours / agentic / paid product
The problem
Analysts rebuilt the same risk picture from the same sources every week.
What we built
Enter a company ID, get a risk report back, with the reasoning behind every finding.
Where it stands
A paid product in production. Python, FastAPI, RAG, LLM.
06 Consumer AI app in Telegram Telegram Mini App / AI content / in-app payments
The problem
A consumer AI product needed to reach users and take payments without an app-store release.
What we built
A Telegram Mini App that serves AI-generated content and handles payments inside the app.
Where it stands
Live, with payments built in. React, Python, LLM, Telegram Mini Apps.
07 Client build: bespoke menswear brand CRM to Telegram / seasonal campaigns / AI copywriting
The problem
The brand wanted to turn its existing customers into repeat buyers.
What we built
Order-status updates from the store CRM straight to Telegram, seasonal campaigns, and an LLM assistant that drafts the copy.
Where it stands
Delivered to the client. CRM API, Telegram Bot API, LLM.
How a project runs
The same four steps on every project. Click a step for the details.
Walk us through the process end to end. We'll tell you straight what's worth automating and what isn't.
You get — a written list of what can be automated
Scope, price and delivery date in one document, before any work starts. The price doesn't change after you sign.
You get — a fixed quote to approve or walk away from
You test it on real inputs while changes are still cheap. Error handling goes in now, not as an afterthought.
You get — a working prototype on your own instance
Credentials, code repository and written docs are yours. Any defect is fixed free for 30 days.
You get — your instance, your keys, your docs
- n8n
- Make.com
- Python
- FastAPI
- PostgreSQL
- Docker
- Claude / GPT / OpenRouter
- RAG & embeddings
- Telegram Bot API
- Telegram Mini Apps
- React
- nginx / VPS
Pricing and timelines
- How much does it cost?
- Most single workflows cost $400–1,500. AI agents start at $1,500, and multi-workflow systems with an AI layer typically run $1,500–4,500. You get a fixed price before any work starts.
- How fast can you deliver?
- A single workflow ships in 3–7 days; an AI agent takes 1–3 weeks. Retainer requests are handled first in, first out.
- Do you white-label for agencies?
- Yes. We can work under your brand, join your client calls, or stay completely behind the scenes. Your choice.
Ownership and reliability
- Who owns the result?
- You do: your instance, your keys, your code. At handover you get every credential and the documentation, so you can switch vendors any time.
- What happens when an AI model fails or an API goes down?
- The run retries with backoff, switches to a backup provider, logs the failure and alerts you. It never fails silently.
- Who actually does the work?
- The engineer who scopes your project is the one who builds it. NICHR is a small studio founded and run by Alex K. Remote, overlapping EU and US Eastern hours, C2 English.
Show us the task that eats your week.
Free 15-minute scoping call, then a fixed quote in writing. Contracts and invoices in English.