ARKADIUSZ JANISZEWSKI
Evolution from a Passive Advisor to an Agentic Workflow.
SITEAI CHAIN
Introduction: The Challenge
Recently, Tomasz Karwatka asked me a provocative question in a discussion: "Have you built your own private autonomous agent?" That question sparked an immediate realization. Until that moment, my application operated as an intelligent "Navigator."
It diagnosed my intent and suggested which chain of assistants to use, but I still had to conduct the conversations manually. I was still the driver; the AI was just the GPS. Inspired by this thought, I implemented a critical upgrade just hours later: The SiteAI Chain. The system transitioned from "Advisor Mode" to "Agent Mode."
The Shift: From Chat to Execution
The barrier in modern AI isn't intelligence; it's friction. Typing prompts and reading replies is still work. True automation happens when the system stops talking and starts doing. The new SiteAI Chain doesn't just chat. It delivers results.
1. Automatic Chain Selection: Based on a simple description of the problem, the system autonomously selects the "Squad" - a specific team of assistants needed for the task. It knows that a budgetary issue requires the CFO Agent and the Risk Manager, while a technical failure requires the RCA Engineer and the Process Mapper. I don't micromanage the team selection; the system does.
2. Command and Control: Autonomy does not mean a lack of control. Although the selection is automatic, the system pauses for a "Green Light." I have the ability to manually correct the plan and approve the agent chain before execution starts. It is a "Human-in-the-loop" architecture.
3. The Deliverable: Once approved, I don't get another chat window. The agents talk to each other in the background. The output is not a conversation; it is a finished asset - an Executive Summary, a One Pager with decision charts, or a mapped process ready for distribution.
The Moat: Why Generic Models Fail
Many ask why they can't simply use ChatGPT or Claude for this. The answer lies in the "Data Moat." A generic model is a brilliant intern with no context. SiteAI is a senior partner because it is calibrated on four unique data streams that no public model possesses:
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The Thought Journal: The system analyzes my pressure patterns and mindset history. It knows how I think.
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Deep Project Context: It holds the specific technical specifications, contracts, and constraints of the current Offshore Wind project.
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The Specialist Squad: It utilizes 15 specialized assistants, from a Resilience Coach to a Reverse Engineering Expert, each finetuned for a specific narrow task.
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Psychocybernetics: The logic engine is built on the mechanisms of Maxwell Maltz, prioritizing self-image and goal-seeking behavior over simple text generation.
The Result: The Operation System
The technological barrier has vanished. The code is easy. The real value lies in how quickly you can translate your unique Intellectual Property into a functioning operating system. SiteAI has evolved. It no longer just gives advice. It takes the burden of execution off my shoulders, allowing me to focus on the final decision.
ARKADIUSZ JANISZEWSKI
LIVE INTELLIGENCE
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© 2026 Arkadiusz Janiszewski. SiteAI Ecosystem. All rights reserved. Built for the 1% of Managers who refuse to guess.
IDENTITY
Architect of SiteAI. Operational Resilience for Offshore Wind. Pragmatic AI for Complex Projects.