Blog
Practical ideas and lessons from building AI-powered systems and custom software for growing businesses.
Hermes can run Codex models through an existing ChatGPT subscription — a very different cost model from API-first tools like OpenClaw. For small teams running one or two everyday assistants, that difference can matter a lot.
A practical example of how an AI agent can help a non-technical business owner complete small technical tasks in minutes instead of outsourcing them for days or weeks.
Most companies already have the data they need to improve sales and customer experience — it is sitting in the CRM, call recordings, and communication history. An AI agent can review all of it and surface where leads get stuck, deals are lost, and conversion could improve.
The most important business information is often buried in email threads, attachments, and forwards. A properly configured AI agent can search thousands of messages, build a timeline, and surface the exact quote that changes the story.
Most companies want to implement AI but get stuck choosing where to start. The answer usually comes from mapping workflows, separating judgment from repeatable work, and prioritizing by impact — not from picking a tool first.
Over two days, we spent more than $30 in AI model usage on an agent that was not completing a real task — just waking up every 30 minutes and burning tokens. Here is what happened and what we learned.
Most small business owners are buried in repetitive tasks — answering the same questions, writing the same emails, scheduling, summarizing. AI assistants change that equation entirely.
Off-the-shelf tools are great until they are not. Here is when it makes sense to stop paying for limitations and start building exactly what your business needs.
Automation does not require replacing your entire stack. The highest-impact wins usually come from targeting three to five specific workflows that drain your team every week.