Multi-agent AI for compliance in banks and insurers: a practical playbook
When we talk about multi-agent AI in banking and insurance, we are really talking about splitting a heavy, regulated workflow — think KYC, AML,…
Step‑by‑step guides that show developers exactly how to build, integrate, and ship AI features with Regolo, using real code samples and ready‑to‑run projects.
When we talk about multi-agent AI in banking and insurance, we are really talking about splitting a heavy, regulated workflow — think KYC, AML,…
OpenCode is an open-source, terminal-native AI coding agent that supports 75+ LLM providers through an extensible configuration system. Because Regolo exposes a fully OpenAI-compatible…
Open-source / open-weight models are no longer “second tier”: GLM-5.1 and Gemma 4 compete with or surpass closed LLMs on coding and reasoning benchmarks,…
We can treat MiniMax “skills” as reusable, high-level instruction blocks or toolkits that specialize an AI agent for tasks like frontend dev, PDF/XLSX processing,…
The next phase of AI in software development is workflow-native, not chat-tab-native. Claude 4 was launched with a strong emphasis on coding and agent workflows,…
Small language models are becoming strategically useful because they lower latency, reduce cost, and make hybrid on-device or edge-first architectures practical. The March 2026…
AI agents are useful when they complete bounded business tasks with reliable tool use, not when they simply produce long reasoning traces. That framing…
Are you tired of using outdated simulation tools that can't handle the complexity of your projects? Do you want to unlock the full potential…
The important shift in 2026 is architectural, not cosmetic. Llama 4 is positioned around native multimodality, Claude 4 around coding and agent workflows, and Gemini…
AI governance is not a legal appendix; it is an application-layer control plane. Regolo’s public positioning emphasizes EU-hosted APIs, Zero Data Retention, and GDPR-oriented enterprise…
Programmatic tool calling is quickly becoming one of the hottest topics among LLM builders on Reddit, X and dev forums. Developers are moving beyond…
GraphRAG improves retrieval‑augmented generation by converting raw text into a knowledge graph, enabling multi‑hop reasoning and corpus‑wide synthesis that standard chunk‑based RAG cannot provide.…