One Founder, Eight Weeks, Four Hundred Agents
I delivered a working, deployed MVP in eight weeks, alone, by directing more than four hundred AI agents.
Everything I have published: essays and manuals from From Lab to Life, research papers, and the archive. Each work tells you where you can read it.

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I delivered a working, deployed MVP in eight weeks, alone, by directing more than four hundred AI agents.
Large language model (LLM) agents now carry out work that outlasts a single session: building software, running literature reviews, writing books, producing campaigns. Every session, however, begins with an empty context window, and when the work moves to a different agent harness, a different model or a different computer, whatever the previous session knew is lost.
Written deliberately as a lesson rather than a product story, taught through The Curator v3.80.0.
Three kinds of context, three write rules, and a project that outlives the session, the harness, the model and the machine
Building a modern website in the age of AI agents: a manual, told through the new website of The Curator
The Curator ships as a native Mac app (v3.45.0). Covers the three layers (personal wiki, Shared Brain, agent working state), the menu-bar widget, bring-your-own-key across three providers at about €5 a month, and plain-markdown portability.
New essays from From Lab to Life arrive on Substack before they reach this library.
The confession piece about two years of hand-written handoff files. The flaw: the most degraded model writes the most important document.
I turned fifty-plus articles into a corpus you can question, download, and hand to your own AI.
Can a frontier orchestrator on a subscription delegate to local open-weight models?
Seven months, two generations, one production rebuild — and five things I learned that I did not expect to learn.
This paper reports a longitudinal design-science case study of a single production artefact — Lumina, a multi-tenant AI assistant platform — across two complete generations built fourteen months apart in capability terms and seven months apart in calendar terms.
The behind-the-scenes rebuild of Lumina from Gen-1 to an enterprise-grade Gen-2.
A summer manual for the curious non-developer who keeps seeing people build apps out of thin air and wondering: could I actually do that?
Running Lumina with real customers six months after launch. A Ljubljana massage studio hit a forgotten 2,000-character personality limit mid-conversation; the systemic fix raised the limit fourfold and added live counters.
Argues that competition has shifted from a fight for resources to a fight for intelligence, using the 19-day frontier-model suspension of June 2026 as evidence of single-vendor risk.
Putting the Organisation of Tomorrow to Work; Use Cases, Vendor Independence, and the Brain Behind the Framework
A follow-up seven weeks after the Shared Brain launch. The author's own wiki has 3,305 nodes and 15,095 edges at v3.0.6.
Two Anthropic announcements 24 hours apart. Sonnet 5 (30 June) becomes the new default, and its real story is follow-through on multi-step tasks.
We are learning to build and ship real digital products using AI coding agents. The gap between idea and shipped product is no longer technical, it is contextual.
How Claude Code plus Playwright via MCP became an autonomous testing loop in early 2025, before "loop engineering" had a name.
Every founder I know has the same problem with email support. In the early days, you handle it yourself. You are fast, you are personal, and you actually know the product. Then you get busier. Response times slip. Users start to notice. You think about hiring someone, but the volume does not justify it yet. So you buy a helpdesk tool, set up some canned responses, and tell yourself you will get to the backlog this weekend. You never get to the backlog.
Compares Kimi K2.7 and Claude Fable 5 using real production data (24 landing pages, 12 prompts).
Release notes for The Curator v3.0.1 beta.20 to beta.23: Shared Brain synchronisation improvements, a new test-automation infrastructure, and stability fixes.
Inside the machinery that powers modern AI development, and why understanding it matters even if you never write a line of code
In the first article, I named the phases: Context Engineering, The Build Phase, Production and Deployment. That naming had an unintentional effect. By calling Phase One “Context Engineering,” I implied that context engineering was something you did once — at the beginning — and then left behind.
ORGANISATION OF TOMORROW (ØØT): An Open-Source Framework and Playbook for Partner-Run, AI-Augmented Organisations
Introduces The Curator v3.0.0-beta Shared Brain: private, attributed contributions merged into a collective wiki for teams and cohorts.
A survey of how the industry is attacking agent memory (vendor memory products, vector stores, managed memory services, file-based memory), why context windows alone fail at agent scale ("context rot"), and why a compiled Markdown…
State of AI, May 2026. Frontier models have reached capability thresholds (1M context, open-source parity).
Presents ØØT as an open-source framework and playbook for partner-run, AI-augmented firms.
How My Curator MCP Turns Your Second Brain into a Frontier AI Research Partner
The philosophical case for the second brain: knowledge immortality, externalised expertise, and curation (compounding) versus retrieval (stateless).
Introduces The Curator through Karpathy's "LLM as wiki" insight: a local, private, Markdown-based knowledge graph that Obsidian can read.
A practitioner's comparison of three coding-agent philosophies.
The canonical home of the Solo era / Symphony era framing.
Two years ago, I started an experiment. I wanted to know whether I could build production-grade software products without writing most of the code myself. Not because I was lazy. Because I had thirty years of product ideas and not nearly enough development hours to explore them.
The empirical study behind the non-developer thesis.
Five days testing Augment Code's Intent orchestration tool on the production Lumina platform (building Lumina Pro).
It all started with a conversation between me and my friend Anton Dobrina — legal expert, fellow AI enthusiast, and someone who has spent years studying and working in legal practice in Slovenia, co-writing Slovenian legislation and is an expert in the Slovenian retirement code.
Can AI Democratise the World's Most Exclusive Algorithm? A Review of Emerging Legal AI Capabilities and Their Implications for Access to Justice
How Augment Code’s Intent Just Changed Everything — Again
A research-based overview of OpenClaw (formerly Moltbot / Clawdbot), the open-source, always-on personal AI assistant created by Peter Steinberger.
An 18-month build of a legal-document AI for Slovenian building legislation (Moj AI).
An AI multi-agent marketing workflow in which different agents handle different content types.
The Lumina Widget build story: a 30-day sprint from concept to production on a budget of about $100 in AI credits, using Augment Code with Claude Haiku 4.5.
How the first version of Lumina was prototyped in Google AI Studio and taken to production on Firebase in 48 hours.
A Two-Year Journey From Fiction to Reality (and the Creativity Blockers Still Holding Us Back)
The foundational definitions essay. Sets out the taxonomy of chatbots, assistants, agents and autonomous workers, with a four-tier autonomy hierarchy and a five-level maturity model for agentic AI.
The MountVacation MCP server build story, and one of the first open-source MCP servers for tourism.
A personal narrative of the shift from "learning to code" to "directing intelligence", tracing the tools from early agents to orchestration.
In my work, I regularly encounter businesses paralyzed by AI’s data requirements. A law firm wants to analyze contracts using AI but cannot risk client confidentiality. A manufacturer needs AI-powered documentation analysis but won’t send proprietary processes to external servers.
Mastering the discipline that transforms how we communicate with artificial intelligence.
My reflections on navigating humanity’s greatest transformation.
A practical toolkit for context engineering at every skill level. Covers model-selection frameworks, prompt patterns, and how to match a tool's capability to the complexity of the use case.
A complete non-technical manual on LLMs. Covers how they work and what they are not, the training process, in-context learning, and the "stochastic parrot" debate.
What happens when you give an entry-level AI model the right tools and see if it can build complex software? That’s exactly what I tested in my latest research, and the results reveal something fascinating about the path toward Artificial General Intelligence (AGI).
A short leader-facing digest of the peer-reviewed COTRUGLI research on generative AI's resource footprint (B15).
The Claude Desktop coding-agent experiment. Documents the real productivity gains alongside the quality constraints: what worked in conversational programming, where human oversight was still required, and why context management was the deciding factor.
Examines generative AI's energy and water demand, efficiency differences between LLMs (Mixtral 8x22B at ~0.15 Wh per query versus Claude 3.5 at ~0.4 Wh), and regional implications in Europe, the US and Asia.
This study, conducted under the COTRUGLI Business School 2 Co-lab initiative in Q1 and Q2 2025, investigates whether Model Context Protocols (MCPs) can enhance large language models (LLMs) to exhibit early indicators of Artificial General Intelligence (AGI) in coding agents.
The rapid ascent of artificial intelligence (i.e. AI) technologies—spanning large language models (i.e. LLMs), no-code platforms, AI agents, automation tools, and Web3 integration—presents both opportunities and challenges for business leaders.
Digital communication has become most relevant in the past decade as digital data has become extremely valuable. Communication in the form of emailing, messaging and data file transfers form the foundation behind most business transactions.
The article explores the state of legacy communication platforms that we use and depend on every day while proposing a new alternative. It offers insight into the work of Dr. Režun and his team, spanning the past five years, as they innovate a novel approach enabling immutable, non-custodial, permissionless, and decentralized communication and data ownership retention.
Blockchain technology has the potential to change the narrative and the core concept of traditional digital human communication and data management (i.e. email, messaging, data file transfers, data file management, etc.); from custodial to non-custodial; from centralized to decentralized; from permissioned to permissionless, and; from free but mined to payable but yours. Enters 4thTech with L1/L2 secured “on-chain” communication infrastructure framework powered by a dedicated SDK (i.e. software development kit).
Marks the completion of the first two seasons of the Blockchain Recorded podcast (co-founded 2021).
Describes 4thTech's Solana-based dChat: end-to-end encrypted, immutable wallet-to-wallet messaging where each message is one L1 transaction (about 1–5 seconds).
A guideline for enterprise blockchain adoption using two use cases: Tolar HashNet (a scalable network) and 4thTech (an application suite for secure, immutable cross-border data and document exchange and eDelivery).
Argues that the internet failed on personal digital freedom and evolved into global intermediaries that monetise private data.
A stand-alone description, adapted from the DBA dissertation, of the general online business model that SMEs can adopt to build brand equity and exposure through problem-solving content.
A case study of how the recruitment agency Naton HR built its online presence, brand position and trust from December 2011, applying the content model developed in the DBA dissertation (B01).
A practical guide for prospective and current Doctor of Business Administration students.
A case study of Hotel Vault Ljubljana (from Feb 2018).
A case study of a new four-star boutique hotel in Ljubljana, based on a manager interview, an inspection and 124 guest reviews.
An early overview of AI's history (from the Turing machine onward), the definition of intelligence, WIPO's framework of AI technologies, and AI's impact on jobs and adoption.
Explores alternatives to paid online brand promotion. Part of Dr. Režun's doctoral thesis.
Argues that the internet became a system of centralised intermediaries trading ease of access for surveillance and data mining, with permissioned access and de-platforming.
A mixed-methods study (grounded theory plus quantitative testing) that designs and tests an online model for SMEs.