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Articles by Tomas Laurinavicius

Tomas builds AI-native software and media products at Craftled, including Bordfeed, Epigraph Media and Laupix, a fully autonomous zero-human company. He writes about AI from the builder's seat, not the sidelines.

Analytics dashboard used as featured image for the NIST AI Risk Management Framework guide
Sep 14, 2026

NIST AI Risk Management Framework as a Working Operating System

Voluntary NIST AI 100-1 guidance (26 January 2023). Map GOVERN, MAP, MEASURE, and MANAGE to owners, evidence, and cadence.

Tomas Laurinavicius
Tomas Laurinavicius
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Abstract light installation resembling a control plane of connected points
Sep 13, 2026

ChatGPT Enterprise Starts With the Control Plane

Buyer and implementation guide for ChatGPT Enterprise: controls, SSO/SCIM, residency, HIPAA boundary, and a 12-step rollout.

Tomas Laurinavicius
Tomas Laurinavicius
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Laptop running locally in a dark room
Sep 12, 2026

Why Run a Local LLM If ChatGPT Already Works?

Run a local LLM on hardware you control. Covers privacy vs offline, VRAM tiers, Q4_K_M, Ollama vs vLLM, and TCO as utilization rather than one crossover.

Tomas Laurinavicius
Tomas Laurinavicius
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Enterprise leaders around a conference table reviewing strategy
Sep 11, 2026

Why Does Enterprise AI Stall? A Portfolio Playbook

Run enterprise AI as a Fund, Defer, or Kill portfolio. Covers operating models, platform layers, shadow AI, and conflicting ROI numbers.

Tomas Laurinavicius
Tomas Laurinavicius
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Team reviewing strategy at a whiteboard during a working session
Sep 10, 2026

AI Governance Built on Owners, Inventory, Cadence

AI governance is named owners, written policy, risk-tiered approvals, a living inventory, and a review cadence that continues after go-live.

Tomas Laurinavicius
Tomas Laurinavicius
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Dark-mode code editor on a computer monitor
Sep 9, 2026

Prompt Engineering: Specs, Evals, and Team Workflow

Prompt engineering is how you spec, evaluate, and version LLM behavior in production. Covers CoT caveats, prompt injection, and when RAG or fine-tuning wins.

Tomas Laurinavicius
Tomas Laurinavicius
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OpenAI API platform landing page
Sep 8, 2026

OpenAI API in Production: Keys, Responses, Rate Limits

The OpenAI API is a billed HTTP developer product. This guide covers project keys, Responses vs Completions, model pinning, and 429s.

Tomas Laurinavicius
Tomas Laurinavicius
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LLM observability dashboard with performance charts
Sep 6, 2026

LLM Observability: Instrument, Score, Contain

LLM observability records traces, quality scores, cost, and latency so you can explain a bad output and contain silent failures.

Tomas Laurinavicius
Tomas Laurinavicius
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Claude AI screenshot
Aug 18, 2026

Claude vs ChatGPT: Which One Actually Fits How Your Team Works?

Claude wins on coding, long documents, and privacy defaults; ChatGPT wins on multimodal breadth, browsing, and integrations. Full breakdown across 7 workflows.

Tomas Laurinavicius
Tomas Laurinavicius
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Best AI Voice Assistants
Jun 23, 2026

12 Tested AI Voice Assistants for 2026: Personal Use and Business Deployment

Compare 12 AI voice assistants for personal and business use. Real pricing, latency benchmarks, and true cost breakdowns for Siri, Vapi, Retell AI, and more.

Tomas Laurinavicius
Tomas Laurinavicius
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Jaccard index formula - mathematical similarity coefficient
Jun 16, 2026

Jaccard Index: The Formula Powering LLM Training, Object Detection, and Text Deduplication

The Jaccard index measures similarity between two sets by dividing their intersection by their union. This guide explains the formula, Python and R implementati

Tomas Laurinavicius
Tomas Laurinavicius
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Forward-deployed engineer working at a client site on a laptop
Jun 12, 2026

Forward-Deployed Engineer: The Role Reshaping Enterprise AI

What a forward-deployed engineer does, what they earn ($140K–1.2M), and how three structurally different FDE types operate in 2026. Tier-by-tier compensation an

Tomas Laurinavicius
Tomas Laurinavicius
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