3–7 days
to ship a single workflow
Automation that degrades instead of disappearing.
Anyone can demo the happy path. We build the other half — error branches, retries, fallbacks, alerts.
Book a scoping call N8N / AI Agents / Integrations
6
systems running in production
You own it
your instance, your keys
Break it on purpose
Click any stage of this run. It fails there, and the run finishes anyway.
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, reporting. Self-hosted or cloud.
from $400 3–7 days / most common start
AI agent development
Retrieval over your data, multi-step reasoning, tool use, with guardrails and an evaluation pass.
from $1,500 / 1–3 weeksCustom API integrations
REST, webhooks, GraphQL, legacy systems with no SDK.
from $600Chatbots that qualify, not chat
Ask the right questions, hand a structured lead to a human, log every step.
from $800Data extraction & enrichment
Dedup, retries, proxy rotation, a schema you can query.
from $500Automation retainer
A queue instead of a quote, monthly audit, direct line to the engineer.
from $1,200/moSix systems, still running
No client names, no logos, no screenshots. The numbers come from instances in production. Open a row for the mechanics.
01 Niche-intelligence SaaS 2 sources / 6 axes / daily digest
Problem
Build opportunities were buried in community threads nobody had time to read.
What we built
Two sources ingested nightly, scored on six axes, assembled into a digest.
Where it stands
Shipping daily with a paid tier. n8n, Python, Postgres, LLM scoring.
02 Multi-agent research pipeline 7 rounds / 30+ pages / ~$0.05 per run
Problem
Single-model reports read confidently and cited sources that did not exist.
What we built
Seven rounds with cross-checks between model families and a citation verification pass.
Where it stands
In production at about five cents a run. Python, OpenRouter, Claude, GPT.
03 Property sellability scoring engine 49 tests / 4 dimensions / self-cleaning
Problem
Scores 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, cleaning its own inputs. FastAPI, Postgres, Python.
04 AI lead-qualification bot 3 steps / 24-7 with quiet hours / 6 events
Problem
Inbound leads were answered late and reached sales as unstructured text.
What we built
Three-step qualification, a structured hand-off in real time, six tracked events.
Where it stands
Answering around the clock with quiet hours. n8n, Telegram Bot API, LLM.
05 Due-diligence report bot minutes not hours / agentic / paid in prod
Problem
Analysts rebuilt the same risk picture from the same sources every week.
What we built
Company identifier in, risk report out, with the reasoning shown.
Where it stands
A paid product in production. Python, FastAPI, RAG, LLM.
06 Personal ops assistant n8n + postgres + llm / OCR to ledger / 1 chat
Problem
Receipts, tasks and reminders lived in four places and were reconciled by hand.
What we built
One chat over n8n: receipt photo to ledger entry via OCR, task routing, scheduled digests.
Where it stands
In daily use. n8n, Postgres, OCR, LLM.
Four steps, in this order
Click a step to see what happens in it. Same chain on every project.
You describe the process end to end. We say plainly what is worth automating and what is not.
You get — a written list of what is automatable
Scope, price and delivery date in one document before anything is built. The number does not move afterwards.
You get — a fixed quote you can approve or drop
You run it on your real inputs while it is still cheap to change. Error branches are built here, not later.
You get — a running prototype on your instance
Credentials, repository and written documentation go to you. Defects are fixed free for thirty days.
You get — your instance, your keys, your docs
- n8n
- Make.com
- Python
- FastAPI
- PostgreSQL
- Docker
- Claude / GPT / OpenRouter
- RAG & embeddings
- Telegram Bot API
- React
- nginx / VPS
Money and time
- What does this typically cost?
- Most single workflows land between $400 and $1,500. Agents start at $1,500. You get a fixed number before any work starts.
- How fast can you deliver?
- A workflow ships in 3–7 days, an agent in 1–3 weeks. Retainers run as a queue, first in first out.
- Do you white-label for agencies?
- Yes. We work under your name, join your client calls, or stay invisible — your call.
Ownership and failure
- Who owns what?
- You do: your instance, your keys, your repository. We hand over credentials and documentation at the end.
- What happens when a model fails or an API goes down?
- The run retries with backoff, falls back to a second provider, logs the failure and alerts you. It does not silently produce nothing.
- Who actually does the work?
- NICHR is a small studio — the engineer who scopes your project builds it. Founded and run by Alex Kolbas. Remote, EU / US-East overlap, English C2.
Send us the workflow that keeps breaking.
Free 15-minute scoping call. Invoices and contracts in English.