Blog
Ideas for shipping AI systems that hold up in production
Frameworks, architecture notes, and operator playbooks from Aleria Labs. Written for teams moving past one-off prompts into skills, automations, and Agentic OS design.
Loop Engineering: How to Stop Prompting and Build AI Systems That Run Themselves
The shift in serious AI building is not better prompts — it is better loops. Define done, let the agent act, let a judge verify, and repeat until it ships. Here is how to move from prompting to loop engineering.
7 min read
Apps that update themselves: what Codex Sites shows about the future of software
Codex Sites is not a website builder. It is a model for software that agents can operate. Safe actions, persistent memory, and skills that let future agents update live applications without human involvement.
6 min read
The Hermes Desktop App changes how you manage AI agents
Hermes launched a native desktop app on June 2, replacing Telegram as the primary management interface. Sessions, artifacts, visible skill management, and reliable cron validation — here is what changed and what it means in practice.
6 min read
The internet is being rebuilt for agents. Here is what that means for your business.
The users of the internet are shifting from humans to agents. Every step of the buying journey — finding, evaluating, transacting, using, recommending — now has a machine-native version. Here is what that means in practice.
7 min read
The AI agent stack that is working in 2026: a practical guide
Hermes, Obsidian vaults, Composio, Telegram, and model routing — the stack that is working for real agent businesses in 2026, not in theory.
7 min read
How the Hermes Agent self-improving loop works (and why it is changing AI agents)
Hermes overtook OpenClaw on Open Router in under 90 days. The do-learn-improve loop, Tenacity release, and three-layer memory explain why.
8 min read
Stop using prompts. Start using a system.
Better phrasing does not fix structural inefficiency. Here is the difference between one-off prompting and an operating layer with skills and shared business context.
5 min read
Workflows, skills, automations, architecture: the four-step formula for real AI leverage
Most teams stop at prompts. Here is the progression from documented workflows to production architecture, with human checkpoints at the right moments.
6 min read
The real unlock is not the agents - it is what goes underneath them
Teams getting more from AI built a brain under the agent: brand, ICP, positioning, and memory loaded every time. Here is how that stack is supposed to work.
7 min read