What does automation cost?

Single workflows start from $500. Complex AI agent systems run $2,000–$5,000. We quote during the free audit call.

How is this different from Zapier or Make?

Your workflows run on your own server. No data leaving your infrastructure, no per-task pricing, no vendor lock-in. You own the system.

How long does deployment take?

From first call to live system in 48 hours. Includes setup, testing, and documentation handover.

What if something breaks after launch?

All projects include 30 days of post-deployment support. Critical issues get a 2-hour response during business hours.

Can you work with Prozorro or Ukrainian government registries?

Yes. We have production Prozorro API experience and custom scrapers for registries without APIs.

AI Trading Bot with Human Approval via Telegram — n8n Build

Results

AI Screen Time

Fetch data, build prompt, Claude response, parse & return

Trades Screened

Every BTC and ETH trigger passes through Claude

Human Review Cost

vs. $800–1,200/mo for overnight risk analyst

Entry Triggers

LOW_IV, CRASH_CALL, PUMP_CALL — each with 48h cooldowns

Tech Stack

Python 3.12 + asyncio

Persistent WebSocket handling, non-blocking event loop across simultaneous API calls and timer resets

Deribit WebSocket API

Real-time tick data subscriptions — eliminates 300–800ms REST polling latency on fast triggers

n8n

n8n (self-hosted, Docker)

AI pipeline runs independently from Python engine — prompt, model, data sources updatable without bot redeployment

Claude 3.5 Sonnet

Instruction-following at temp 0.1 returns valid JSON reliably

OpenRouter

Model-agnostic gateway — switch to GPT-4o or Gemini with one field change, no code rewrite

CryptoPanic API

Aggregates 40+ crypto sources in a single call — no scraping, no RSS, no missed stories

BOTTOM LINE

Your automation needs a second opinion before it acts.

We build n8n workflows, AI agents, and operational automations for teams that need their systems to make judgment calls — not just execute instructions. Deployed in 2–3 weeks.

Get a Free Assessment →

Frequently Asked Questions

What does the AI actually check before approving a trade?

Risk management. The bot generates a trade signal from market conditions, then passes the full context — current price, volatility, position size, portfolio exposure — to Claude AI for a real-time risk assessment. Claude either approves with a confidence score or blocks the trade with a specific reason. No order executes without that sign-off.

How fast is the decision loop?

Under 3 seconds. Signal generation, Claude API call, risk check, and order submission complete in 2.4 seconds on average. That's fast enough for Deribit options trading where pricing windows are short and slippage compounds quickly on delayed execution.

Does this work on exchanges other than Deribit?

The current deployment is built for Deribit's options and perpetuals. The same architecture adapts to Binance, Bybit, or OKX — the signal logic and Claude integration are exchange-agnostic. The order execution module is swapped per exchange API during deployment, typically a 4–6 hour change.

What happens if the AI check fails or times out?

The bot falls back to a conservative block — no trade is placed if the AI check doesn't complete within the timeout window. A Telegram alert goes to the owner immediately. Capital preservation takes priority over trade opportunity; the system is designed to fail safe, not fail open.

How do I audit AI decisions after the fact?

A PostgreSQL dashboard logs every signal, decision, and executed trade with timestamps, Claude's reasoning text, and P&L per position. A weekly Telegram digest summarises win rate, risk-adjusted return, and flagged edge cases. The owner can query historical decisions at any time to audit the AI's reasoning.

Claude AI Approves Every Order First.

Results

Tech Stack

Your automation needs a second opinion before it acts.

Frequently Asked Questions

Skip the trial-and-error. We've already mapped what works.