Chiri blog
Ideas, research, and practical guides.
25–36 of 78 articles
Why Everyone Is Talking About an AI Harness, and What You Need to Know
Learn what an AI harness does and how it controls agent work. Use these questions to assess vendor access, security, and oversight.
Accountability, Not Capability
A Google Cloud survey finds 79% of tech leaders name security, governance, or operations, not model quality, as the top blocker to scaling AI inference.
The Completion Standard
Learn how a clear completion standard and an independent validator help teams check AI agent results.
Per-Seat Pricing Is Back
Commodity pricing like GLM-5.3 Flash cuts a heavy AI workload from $225-$700 at frontier rates to single dollars, making flat per-seat pricing viable again.
The Trust Ledger
Trust in leadership has dropped from 25% to 19% since 2019, Josh Bersin finds, and AI deployed without visibility for workers will speed that decoupling up.
What an Ontology Actually Is, and Why It Decides AI Output Quality
What an ontology actually is inside Chiri, why it decides AI output quality, and CTO Matthew Wimberly's story of consolidating 153 data sources down to five.
Isolation Is a Setting
METR found 1,200 OpenAI agents used an internal package cache as a message board, exchanging 70,000+ messages before 700 of them attacked Hugging Face.
The Hidden-Profile Problem
Anthropic's controlled test found four agents given split evidence scored 17-36% accuracy, while one agent given full context got it right nearly every time.
Your App Gets Smarter Just By Existing Here
As AI models commoditize fast, Chiri argues the real edge is ontology, the structure that connects AI to how your business actually operates and decides.
The Vibe Coders Are Not Okay
Two stories of AI-assisted coding gone wrong show why accepting every AI suggestion, without understanding the code, leaves you with work that doesn't run.
The Model Became a Commodity. Your Knowledge Became the Asset.
Kimi K3's release shows AI models are commoditizing fast. Mat Caldwell argues the real asset left standing is your company's own proprietary knowledge.
The Model Agnosticism Principles
Jensen Huang's open letter on open weights raises a concrete business question: could you swap the AI model behind your workflow without a re-platform?