Knowledge ArchitectureAI Knowledge SystemsDocs EngineeringEnergy Transition & Flexibility
BinoyWATTS
I architect knowledge for humans and machines.
I design the knowledge layer between Product, Engineering, and AI: turning fragmented technical knowledge into governed, structured, retrievable systems that humans, large language models (LLMs), and agents can reliably use.
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What I do
Capabilities
Knowledge Architecture
Turning fragmented organisational knowledge into coherent, governed systems. Information Architecture, Taxonomy, Metadata, Governance, Content Models, Ontology, and a single Source of Truth.
AI Knowledge Systems
Designing knowledge so LLMs and agents retrieve the right information and know when to trust it. Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), AI Evaluation, Agentic Readiness, and Ontology Engineering.
Docs Engineering
Treating documentation as a product and an engineering system. Docs-as-Code, Application Programming Interface (API) documentation, Automation, Multilingual Systems, Developer Experience, and Agent Linting.
Energy Transition & Flexibility
Virtual Power Plants (VPP), Battery Energy Storage Systems (BESS), Energy Management Systems (EMS), and Distributed Energy Resources (DERs). The knowledge layer at the grid edge.
What I've done
Work
Verified professional outcomes across knowledge architecture, AI-first documentation, and intelligent content systems. Evidence, not claims.
Seven-figure savings across engagements.
Methodology, breakdown, and supporting evidence on the Work page.
See the evidence →What I'm building
Knowledge Lab
Independent, inspectable artifacts built on public or synthetic data. Status labelled honestly.
Grid Knowledge Graph featuredBuilding
Knowledge Architecture Readiness Index (KARI)Pilot
+ 2 more in the lab
Enter the Lab →What I'm finding
Research Lab
Evidence-led research into how the knowledge layer is showing up in hiring, tooling, and organisational design.
The Altitude MapPublished
Knowledge Hiring RadarPublished
+ 2 more published
Explore the research →What I'm writing
Newsletter
A fortnightly letter on Knowledge Architecture, AI knowledge systems, and the energy transition. One argument per issue. No aggregation.
01
The Knowledge Architect and the grid
Why the most consequential Knowledge Architecture job of the 2020s is in the energy transition.
02
Agent Experience: the problem Docs-as-Code never solved
Docs-as-Code fixed versioning. It never designed for agents as deliberate users with different parsing needs and failure modes.
12-issue arc in progress · fortnightly on Tuesdays
Read the newsletter →Domain · Energy Transition & Flexibility
What happens when physical infrastructure doesn't share a knowledge model?
Britain has one electricity grid. The organisations coordinating it don't share one representation of it. I built an interactive Knowledge Graph exploring the grid connection queue as a Knowledge Architecture problem.
125GW
Queue
7
Org nodes
14
DNO regions
1
Fragmented layer
Who I am
About
Engineer by training. Knowledge Architect by practice. 20+ years across Telecom, Semiconductors, SaaS/AI and Energy. All versions of the same problem.
Read the full story →