Feature delivery
Translate an approved product requirement into a scoped implementation, review the diff, run tests and keep every change traceable in Git.
AI Product Strategist · Automation Architect
Clear AI products. Working automations.
I turn AI opportunities into useful products and reliable workflows. Product strategy, AI agents and n8n automation come together in one hands-on process.
AI Product Ownership
n8n Automation
AI Agents
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AI HITCH Field Guide
The first public AI HITCH field guide
Fewer tokens. Less wandering. The same quality outcome.
A practical field guide for Claude Code and Codex that shows where AI coding sessions waste context, time and money. Its recommendations are grounded in measurements, documentation and real workflows.
- 53practical tips
- 48verified practices
- Claude Codeand Codex
- CS + ENtwo languages
HUMAN → SYSTEMMeasured guidance for better AI coding sessions
AI Engineering Stack
From product intent to verified code.
One governed codebase connects repository context, coding agents, Git controls and local or cloud models into a professional delivery system.
Orchestration layer
Delivery System
One codebase with context, permissions, tests, Git history and human approval.
Git pair programmingAiderRepository map, focused edits, diffs and reversible commits.
Agentic terminalClaude CodeArchitecture, implementation, debugging and scripted CLI workflows.
Engineering agentCodex CLIRepository work, review, testing and repeatable engineering tasks.
Model layerHugging FaceLocal privacy, open models and routed cloud inference when scale is needed.
Debugging and modernization
Inspect logs and dependencies from the terminal, identify the failure path and deliver a minimal fix with regression evidence.
Local model workflows
Route sensitive classification, extraction, embeddings or code assistance to a suitable Hugging Face model running on controlled hardware.
Cloud model routing
Use Hugging Face Inference Providers for experimentation, provider choice, failover and elastic capacity without locking the product to one model.
Live Product
The same stack, running as a finished product.
AI Text Forensics is a bilingual screening tool for text, public articles and CV material. It runs on this domain, so you can open it and judge the work yourself.
Version 1.2 · CZ / EN
AI Text Forensics
Explainable screening of text for possible signs of AI assistance, a paragraph map, a comparison writing sample, source and process checks, plus CV review and interview preparation.
- Text screeningSignals at paragraph level, each one explained instead of scored.
- Web and vacancy importPublic articles and job posts loaded through a protected extractor.
- CV and interviewPDF, DOCX, TXT, MD and HTML input with role vocabulary and readability checks.
- Reports and promptsPrintable reports and bilingual mega prompts ready to reuse.
Honest by design. The tool reports signals, never a percentage of authorship, an ATS score or a decision about a candidate.
RuntimeNetlify Functions on Node 24
ExtractionPDF, DOCX, TXT, MD and HTML
SafeguardsSame origin, rate limits, blocked private networks
DataProcessed for one request and never stored
AI HITCH Labs · R&D concept
Software intelligence
The source code is gone. The software is still running.
A research concept for understanding legacy applications and firmware. Ghidra reveals structure, AI helps explain relationships and engineers verify the conclusions.
We use Ghidra, open-source software developed by the U.S. National Security Agency (NSA), for the analysis. This is a research direction, not a public binary-analysis service.
01Binary or firmware
02Structured evidence
03AI hypotheses
04Human verification
Work 2023–2025
Who I Help
Founders
Turn an AI opportunity into a focused product, a testable scope and a credible route to launch.
Product teams
Define the right architecture, quality criteria and operating model for an AI-enabled product.
Operations teams
Replace fragile manual work with monitored n8n workflows and carefully controlled AI agents.
Why AI HITCH
The right technology needs the right introduction.
AI HITCH does not manufacture value or hide weak ideas behind AI. I study the real problem, remove friction and create the conditions in which the right product can be understood, adopted and trusted.
See what is real
Understand the people, the problem and the value that already exists.
Create the opportunity
Find the moment where AI can make a meaningful and measurable difference.
Prepare the interaction
Design the workflow, interface and safeguards around real human behavior.
Make it work naturally
Guide the product into daily use without forcing technology where it does not belong.
How It Works
01
Understand
Define the problem, desired outcome, constraints and what success should look like for the people using the product.
02
Architect
Map the full system: AI strategy, model selection, data flows, prompt structure and the product architecture that holds under real-world load.
03
Build
Build the prompt systems, workflows, interfaces, backend logic and integrations as one coherent product.
04
Ship
Deploy, test failure paths, add monitoring and iterate until the system is ready for responsible day-to-day use.
About
I connect product judgment, team leadership and hands-on automation.
I'm Daniel, an AI product strategist and automation architect based in the Czech Republic. Under AI HITCH, I help teams decide what to build and turn that decision into a working product or n8n automation.
My work covers AI product discovery, team leadership, agent and prompt systems, workflow architecture, interfaces and implementation. One accountable product direction keeps people, decisions and delivery connected.
My product background keeps the work focused on users, outcomes and responsible operating boundaries, not technology for its own sake.
AI Product Ownership
n8n Automation
Product Design
App Engineering
Agentic Systems
AI Agents
LLM / RAG
Workflow Architecture
Aider
Claude Code
Codex CLI
Hugging Face Models
01
Product strategy and ownership
02
n8n workflows and AI agents
03
Product design and build
What I Do
01
AI Product Ownership & Strategy
Product discovery, outcome definition, prioritization, evaluation criteria and a clear route from opportunity to release.
AI Systems
02
n8n Workflow Architecture
Reliable workflows with clear data flows, API integrations, error handling, monitoring and human oversight.
Strategy
03
AI Agents & Prompt Systems
Models, tools, memory, prompts and structured outputs designed around measurable quality and safe operating boundaries.
UX / UI
04
Product Design & Build
Product UX, interfaces, orchestration and engineering delivered as one coherent, production-minded system.
Build
05
AI & Automation Audit
A focused review of product value, workflow reliability, costs, risks and the most useful next step.
Advisory
06
AI Engineering & CLI Implementation
Aider, Claude Code, Codex CLI and local or cloud Hugging Face models connected through controlled, testable engineering workflows.
Engineering
07
Product & Team Leadership
Leadership for small and larger cross-functional teams with measurable outcomes, explicit ownership and decision criteria connected to product value.
Management
Where Product Thinking Meets Automation
Decision layer
AI Product Ownership
I define the problem, desired outcome, priorities, evaluation criteria and human oversight. This keeps the product useful, measurable and grounded in real operating constraints.
Delivery layer
n8n & AI Agents
I translate the product logic into workflows, APIs, data transformations, agent tools, memory, monitoring and error handling that can operate beyond a demo.
Leadership layer
Product & Team Leadership
I lead small and larger cross-functional teams around a clear product direction. Outcomes, ownership and decision criteria must be measurable. If success cannot be defined, the operating model needs to be redesigned.
Define it. Measure it. Improve it.Field Guides
Practical thinking you can take with you.
Two focused publications turn my core specializations into clear methods, decisions and steps you can use in practice.
From the first workflow to reliable automation.
A practical introduction to n8n, workflow architecture, deployment, AI agents and the controls that move automation beyond a demo.
n8nWorkflowsAI agents
Open the guide
The skills that define product leadership now.
A research-led field guide to AI-native product ownership, technical literacy, strategic judgment and the human skills that remain decisive.
ProductAI strategyLeadership
Open the report
Contact
Available for new projects
Have an AI product that needs a clear path forward?
Send me the problem, current stage and desired outcome. I will reply with the most useful next step.
strzinekdaniel8@gmail.com +420 603 731 527