Synkerra — Production AI Systems & Automation Engineering

CAPABILITIES

What I build

Six core capabilities, all built on the same principles: cost discipline, fail-closed security, handoff-ready documentation.

01 · AGENTS

Custom AI Agents

Claude Sonnet/Opus with tool use loops. Multi-step research, structured outputs, confidence scoring. Production patterns for cost control.

02 · CONTENT

Content Automation

Multi-source aggregation, AI-powered scoring, multilingual publishing. JSON-driven architectures that scale without enterprise overhead.

03 · OSINT

OSINT & Research

Public-data research agents with cross-verification, source citations, transparent confidence levels. Ethics-by-design, GDPR-aware.

04 · RAG

RAG Systems

Retrieval over your internal documents. Claude API, vector search where it adds real value, honest about when simpler approaches win.

05 · WORKFLOWS

Workflow Automation

n8n, Make.com, custom Python orchestration. AI-enhanced workflows with proper error handling, observability, and cost tracking.

06 · ARCHITECTURE

AI Architecture

Audits, ADR-driven governance, cross-system standards. For teams scaling multiple AI systems and needing them to coexist.

REFERENCE SYSTEMS

Production work

AI systems I built and currently operate. Live, verifiable, with real numbers.

CONTENT PIPELINE

Bilingual AI Content Pipeline

Daily automation processing 8 academic sources, scoring via Claude Haiku 4.5, publishing bilingual to Telegram + WordPress. Replaced 60-90 hours/month of editorial labor.

200+

Articles

$1/mo

API cost

100%

Uptime

View live demo →

AGENTIC AI

OSINT Research Agent

Telegram bot with Claude Sonnet 4.6 and 5-tool agentic loop. Returns structured research reports with confidence levels and source citations.

30-60s

Per query

$0.05+

Per research

5-10×

Cost saved

Request case study →

METHODOLOGY

Architecture Governance

Lightweight ADR-driven governance framework for multi-component AI platforms. AI-assisted review, three-tier decision routing, due-diligence-ready documentation.

Systems

Contours

<20%

Overhead

Request methodology →

METHODOLOGY

How I work

Four principles that govern every engagement.

Async-first communication

Text-based, documented decisions, written progress updates at each milestone. Avoids the "what was discussed on Tuesday's call?" problem.

Milestone-based pricing

Typically 33/33/34 across 3 milestones (or 4×25% for larger). No hidden costs, no scope creep without written approval.

3-tier credentials protocol

For production keys and sensitive data, you add them directly to deployed environments. I never see raw values. Protects your security, limits my liability.

Knowledge transfer by default

Every engagement produces documentation that lets your team continue without me. No vendor lock-in through knowledge hoarding.

FILTERS

What I won't do

Explicit filters that protect both of us from bad fits.

Gambling, adult content, scam infrastructure, or dark patterns
Russian-controlled clients (I'm Ukrainian, war is ongoing)
Offensive military systems (defensive applications fine with clear use-case)
"ChatGPT-like but better" with undefined scope or success criteria
Projects under $2,000 — discovery overhead doesn't pencil out for either of us
"Money-back guarantees" on outcomes I don't control — red flag from any serious freelancer

AI systems that actually run in production.