Cerulea Blog
Technical writing, strategic thinking, and notes from the team building Cerulea's infrastructure platform.
Topics
26 May 2026
14 min read
This article explains where blockchain actually makes sense and where Cerulea can be useful. It focuses on use cases where multiple parties need to trust the same record, no single party should fully control that record, and the history of changes matters. The main examples are supply chain traceability, digital identity, academic and professional certificates, government records, healthcare record management, and enterprise workflow automation.
26 May 2026
8 min read
This article explains how the Cerulea API lets teams use blockchain infrastructure through normal HTTP-based integration. The main point is that blockchain adoption often fails because integration is difficult, not because the chain itself is unavailable. Cerulea API solves this by exposing workspaces, deployments, private chains, smart contracts, validators, governance, tokens, identity, analytics, and CI/CD workflows through familiar REST and JSON-RPC interfaces.
26 May 2026
8 min read
This article explains what Cerulea Studio is and what it is not. Cerulea Studio is a visual no-code interface for building blockchain infrastructure, including smart contract logic, data models, token schemas, governance rules, validator settings, access permissions, private networks, and application-specific REST APIs. It supports both Cerulea Public L1 and Cerulea Private Chains through the same interface.
26 May 2026
9 min read
This article explains how to choose between Cerulea Public L1 and Cerulea Private Chains. The Public L1 is best when records need open verification, shared trust, public visibility, and independent validation. Private Chains are better for enterprise, government, regulated data, consortium networks, access control, and data residency requirements.
18 May 2026
18 min read
This article explains the real technical connection between AI and blockchain, without treating it as hype. The core idea is that AI needs verifiability, audit trails, trusted execution, and compute infrastructure, while blockchain needs better intelligence, automation, monitoring, and cross-chain coordination. It covers major intersections like ZKML, trusted execution environments, AI agents with wallets, decentralized GPU compute networks, AI-assisted smart contract security, governance support, and cross-chain optimization. It also clearly separates what is already production-ready from what is still early or mostly research.
18 May 2026
19 min read
This article explains blockchain from a practical, technical perspective without focusing on crypto prices or hype. It covers what blockchain is, how consensus mechanisms work, the blockchain trilemma, public vs private chains, smart contract security, scaling through rollups and modular architecture, interoperability, AI-blockchain use cases, and post-quantum security. The main message is that blockchain infrastructure in 2026 is more mature and production-ready than many critics assume, especially through Layer 2 rollups, modular chains, private enterprise networks, and better audit tooling. But it also clearly says that major challenges remain, including scalability, user experience, bridge security, regulation, and enterprise-grade deployment complexity.