From the Mind of grāmatr℠.
Real problems. Real code. Real decisions. Building an AI that actually gets smarter — and sharing what we learn along the way.
NVIDIA Thinks Agents Need Guardrails. They Also Need Context.
NemoClaw launched at GTC with Adobe, Salesforce, and SAP. It solves security. It doesn't solve context. Here's what's missing.
66% of Developers Say AI Gets Close But Misses the Mark
Stack Overflow's 2025 survey: trust dropped to 29%, 66% say AI is "almost right." The problem isn't capability — it's context delivery.
MCP Just Became the TCP/IP of Agentic AI
Anthropic donated MCP to the Linux Foundation. OpenAI, Google, Microsoft, and AWS are co-governing it. What the Agentic AI Foundation means for your stack.
AI Memory in 2026: Five Approaches Compared
Mem0, Zep, Letta, LangMem, and grāmatr take fundamentally different approaches. Here's an honest comparison of what each does and doesn't solve.
The Fully Local AI Stack Is Here
On-device models, local inference, and MCP-native context engineering. The zero-cloud AI workflow is no longer theoretical.
$2.5 Trillion in AI Spending. 95% Zero ROI.
Gartner says $2.52 trillion in AI spending this year. MIT says 95% of organizations saw zero ROI. The gap isn't model quality — it's context delivery.
Context Engineering: What Anthropic, Karpathy, and Shopify's CEO Agree On
Karpathy, Shopify's CEO, and Anthropic converge on context engineering. Then MCP became an industry standard under the Linux Foundation. Here's what that means.
The 12-Month Velocity Story: How Two Breakthroughs Raised the Floor
Two architectural breakthroughs. Each one permanently raised the productivity baseline. 52 weeks of GitHub contribution data tells the story of compounding intelligence.
How grāmatr Mirrors the Human Brain
I didn't set out to build a brain. But the architecture I converged on — fast classification, selective retrieval, modular processing, feedback consolidation — is the same architecture the human brain uses. Here's the neuroscience.
From Digital Agency to AI Brain: The 19-Year Journey of grāmatr
In 2007 I founded a digital agency on grāmatr.com. In 2026, the same domain powers a context engineering platform. The thread connecting them: data lives in silos, context gets lost, and the people doing the work spend too much time re-explaining what should already be known.
Store and Retrieve Is Not Intelligence
Every AI context tool on the market stores and retrieves. That's a filing cabinet. The unsolved problem is learning — getting smarter over time, not just remembering more.
Why I Killed My 40,000-Token System Prompt
My CLAUDE.md file was 40,000 tokens. Claude was getting worse, not better. So I replaced it with 1,200 tokens of intelligence — and everything changed.
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