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Built & written by Luca Viscomi

Engineering AI.
Sharing the build.

Luca Viscomi

AI Engineer · Founder · Builder

Production AI agent engineering, Model Context Protocol tooling, multi-agent architecture and context optimisation — built, tested and documented in public.

MSc Artificial Intelligence · Distinction

⚡ Get MCP Harness Explore the builds View my profile
  • Python
  • MCP
  • LangGraph
  • AWS
  • Azure
  • GCP
Luca Viscomi in a navy suit, surrounded by electric blue orbital light rings

Explainer Series

Get Your Head Around Agents

Plain-English guides for managers, executives, and leaders moving from AI hype to practical business execution.

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EXPLAINER · PART 01✨ Narrated Video Intro

Chatbot vs Copilot vs Agent

The plain-English executive guide to what AI actually does in business.

Watch the 1:25 video intro on the left for the executive breakdown of tools that talk vs systems that work, or read the full article.

Level 1 (Chatbots): Conversational research assistants with 0% state execution
Level 2 (Copilots): Passenger-seat accelerators requiring human hands on the wheel
Level 3 (AI Agents): Digital operators taking custody from goal planning to verified execution
Read Full Explainer

Developer Tooling · Open Source

Agent Junky MCP Server

The AI Systems Engineering Harness for Claude Desktop & Cursor. Real token accounting, tool audits, and Layer 1–7 blueprints.

MCP 2.X READY · STDIO & SSE

4 Production Tools In Your Chat

Audit tool schemas, count real BPE tokens, harden system prompts, and retrieve LangGraph blueprints directly in Claude Desktop.

⚡ Setup in 30 Seconds
DEV TOOLS · HARNESS⚡ Local & Cloud

AI Systems Engineering Harness for Claude

Stop blaming the model when agents break in staging. Give Claude deterministic tools.

Connects directly into Claude Desktop or Cursor over standard I/O (stdio) or HTTP/SSE on Render.

audit_tool_architecture: Catches parameter-explosion bloat and ambiguous keys
benchmark_context_bloat: Real BPE token calculations, SNR, and cost estimates
retrieve_system_blueprint: Instant production code for LangGraph supervisors & SQLite memory
Explore MCP Server & Quickstart View All 4 Tools

Telemetry · Active Optimization

Tokenomics & Context Telemetry

Live session telemetry, deterministic transcript surgery, and repository token budgeting to defeat runaway context bloat.

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ENGINEERING HARNESS · v1.2.x⚡ Active Telemetry

Tokenomics & Context Bloat Optimization

Stop burning tokens on zombie terminal logs, test failures, and unchecked context saturation.

Watch the 1:24 video intro for the complete breakdown of transcript surgery, or launch the interactive browser simulator.

Active Transcript Surgery: Prunes dead output logs into semantic tombstones with 60–80% savings
Repository Token Auditor: Scans multi-file codebases and projects cold vs warm invocation costs
Session State Handover: Synthesizes zero-loss continuation files for effortless context window resets
⚡ Launch Tokenomics Engine 📘 Beginner's Guide & KB

Architectural Taxonomy · Topic Hubs

Engineering Topic Clusters

Structured knowledge hubs grouping our foundational pillars, protocol implementations, and benchmarks.

Explore All Clusters
🤖 AI Agent Architecture (6 Guides)🔌 Model Context Protocol (4 Guides)🧠 Context Engineering (5 Guides)⚡ AI Token Optimisation (3 Guides)🛡️ Agent Reliability (5 Guides)

Engineering Build Log

Deep Dive Series

In-depth technical blueprints, runtime harnesses, MCP protocols, and multi-agent systems architectures.

View All 14 Guides Follow via RSS

DEEP DIVE · #01 / THE LOCAL LAB

Build a home agent lab

Windows, Python and Google ADK. A real local build, mistakes included.

DEEP DIVE · #02 / AGENT ARCHITECTURE

Speed. Control. Governance.

Four agent-building paths. The trade-offs behind choosing the right one.

DEEP DIVE · #03 / MCP & TOOLING

Giving the agent hands

Wiring local MCP servers with Python and SQLite. Connect your tools. Keep control.

DEEP DIVE · #04 / TOOL ARCHITECTURE

Engineering Reliable AI Agents

Tool routing, least-privilege scoping, and evaluation. Avoid the tool-explosion trap.

DEEP DIVE · #06 / TOKENOMICS

Deterministic BPE Token Accounting

Why Byte-Pair Encodings break multi-agent loops and how to fix subword fragmentation.

DEEP DIVE · #07 / MCP GATEWAYS

Production MCP: Streamable HTTP

Streamable HTTP architecture, high-throughput agent gateways, and legacy SSE migration.

DEEP DIVE · #10 / SESSION SURGERY

The O(N²) History Re-feeding Trap

How multi-turn transcripts explode token bills to 2.6M tokens, and surgical pruning fixes.

DEEP DIVE · #13 / STATE PERSISTENCE

Zero-Loss Context Resets

Maintaining long-running agent coherence with structured state handover checkpoints.

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DEEP DIVE · #05 / SYSTEMS ARCHITECTURE✨ Narrated Video Intro

7 Layers of AI Systems Engineering

From foundation models to runtime harnesses, agent loops, and enterprise ontologies.

Watch the narrated video intro on the left for the rapid bird's-eye view, or dive directly into the complete production engineering blueprint.

Tiers 1–3: Foundation Models, Prompt Schemas & Context Boundaries
Tiers 4–5: Execution Harnesses & Autonomous LangGraph Loops
Tiers 6–7: Multi-Agent Orchestration & Domain Ontologies
Read Full In-Depth Article
📚 Explore All 14 Technical Articles & Blueprints