Open Model Strategy & Training
Model Strategy & Training
Track open and local model strategy across Qwen, Gemma, Kimi, DeepSeek, model routing, fine-tuning limits, and training economics.
View Research →Practical AI research, implementation notes, and field-tested resources for leaders and builders working AI-first.
Substack
New research briefs, technical walkthroughs, and practical AI implementation notes from the Trilogy AI Center of Excellence.
Open SubstackHighlights from our ongoing and completed research initiatives.
Model Strategy & Training
Track open and local model strategy across Qwen, Gemma, Kimi, DeepSeek, model routing, fine-tuning limits, and training economics.
View Research →Agentic Engineering
Investigating AI-driven software development with agent harnesses, coding assistants, review loops, and engineering workflows that can operate across real repositories.
View Research →Agent Infrastructure
Explore open protocols for AI interoperability (A2A, MCP, OGP) to enable reliable task handoff, tool access, and gateway federation across agents.
View Research →Stay updated with our newest findings, analyses, and insights.
Model Strategy & Training | 2026-07-09
A practical guide to routing work across GPT‑5.6’s new model tiers for the best mix of cost, speed, and reliability.
Read Publication →Agentic Engineering | 2026-07-03
The playbook for running an AI agent fleet without being the bottleneck, plus the three failure modes that only show up once you actually trust them.
Read Publication →Agent Infrastructure | 2026-07-02
Most enterprises deploy AI access without a shared execution substrate. Why capability portability — not licenses — is the real ceiling on AI adoption.
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