Chiri blog
Ideas, research, and practical guides.
25–36 of 78 articles
The Actual Problem Isn’t “AI.” It’s Everything Around AI.
Enterprise teams aren't blocked by model quality anymore. Part 2 looks at MIT's research on why AI projects actually fail: approval, switching, explainability.
Claude Cowork Is Having a Moment. Your Attack Surface Is Too.
Anthropic's Claude Cowork lets AI read folders, edit files, and act inside your tools. This piece breaks down why that shift changes the security threat model.
The Chiri Standard: Trusted AI at Scale
MIT found 95% of AI pilots fail and McKinsey found just 6% reach high performance. Part 3 breaks down the systemic issues behind enterprise AI failure.
Chiri Brain: Any Model. One Interface. No Lock-in.
Built your workflows around one AI vendor's API and SDK? Part 4 explains the lock-in tax and how running any model behind one interface can avoid it.
Clawdbot (Moltbot) Went Viral. So Did Its Security Holes.
Clawdbot, rebranded Moltbot, went viral with 60,000+ GitHub stars, then researchers found exposed control panels, API keys, and OAuth credentials online.
See Everything (Because Black Boxes Don’t Get Approved)
Security teams won't approve what they can't inspect. Part 5 covers the AI black box problem, citing IBM's finding that most AI breaches lacked access controls.
The Casino Chip Economy
AI token spending creates a new business cost. Learn why leaders need usage tracking and accurate pricing to manage that cost.
The Immutable Employee File
Blockchain's most mocked idea may be the only credible way to govern an AI agent workforce: an immutable record of what agents did and who approved it.
The Death of the Status Call
Status decks and weekly calls are giving way to real-time dashboards. See why audit trace, not narrative, is becoming the real AI consulting deliverable now.
The Unbadged Employee
Employees pass HIPAA and SOC 2 audits every year. Most AI agents still don't. This piece asks whether your compliance program even covers AI agents yet.
The Rented Land Problem
AI has made building bespoke software as cheap as renting it, collapsing the SaaS-vs-services divide as public SaaS valuation multiples keep compressing fast.
The Human Rate Limit
AI agents now write code faster than any team can read it. The real constraint was never generation, it was code review, and that gap keeps widening.