Editorial judgment
Exploring how AI can help surface context, compare source material, and support deeper preparation without replacing human calls.
Editor-in-Chief at CryptoSlate · Builder of local-first AI systems
Akiba
I lead editorial at CryptoSlate, covering Bitcoin, digital assets, market structure, regulation, and the AI systems changing how people research, verify, and make decisions.
Outside the newsroom, I build private tools for memory, automation, research, and operating inside messy real-world workflows.
active layer Local memory becomes the operating layer: context, provenance, and current task state.
Editorial first
Crypto reporting, analysis, and newsroom judgment.
My work sits at the intersection of crypto markets, policy, decentralized infrastructure, and emerging AI. This site is a personal index of that work, anchored by my role as Editor-in-Chief at CryptoSlate.
Evidence-first journalism
AI can accelerate research, but judgment still belongs to the editor.
- 01 Signal discovery
- 02 Source capture
- 03 Provenance check
- 04 Contradiction review
- 05 Editorial judgment
- 06 Publication
Source signal appears across markets, policy, filings, on-chain data, and public claims.
AI strategy at CryptoSlate
Using AI to strengthen editorial process, not replace editorial judgment.
Verification culture
Focusing on provenance, citations, source quality, and the limits of agentic actions in financial media.
Local-first tools
Building private systems for memory, research, and operational context where sensitive data stays close to the user.
Private sources
Local intelligence Local runtime board
Controlled outputs
Notes, drafts, inbox context, calendar commitments, repositories, research, and documents remain close to the user.
CryptoSlate
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