What we learn, written down
What we learn building automations. Method, positions, and the mistakes worth avoiding.
A script breaks. A system handles it.
Your early automations worked. Then the business grew and they started failing quietly. The differen...
Agents that can act must be contained
You can run an agent on a laptop this afternoon. Putting one near customer data is a different job, ...
AI coding tools were built for one developer, not a team
The speed is real. So is the risk you took on without deciding to. What changes when an AI coding to...
Automation removes the blank page, not the editor
A content pipeline can find the topic and write the draft. It should not decide what gets published under your name.
SensirelDo not automate a sales process you do not have
Most requests to automate go-to-market name a tool before a process. What has to exist before automation helps, and what to measure first.
SensirelEmail: stop what dirties the base before you clean it
A bounce rate is not a cleaning problem. It is an intake problem. The four steps we use to bring a damaged email base back, and prove it on a full sen...
SensirelMost AI agents die in the demo
The demo works. Then nothing ships. What separates an agent that impresses a room from one your team depends on.
SensirelQualify leads with rules before you qualify them with AI
A model can score a lead. It cannot tell you why, and your sales team will not trust a number they cannot explain. Start with rules.
SensirelShip the product before it feels ready
The most common founder mistake is wanting the product flawless before anyone touches it. What an MVP is for, and what to leave out.
SensirelCustomer support starts before the ticket
Most support automation sorts tickets faster. The cheaper move is upstream: answer the question on the page, from your own data, and read what people ...
SensirelWhen not to hire us
We are not the right answer for every company or every process. Here is when we are not, and what to do instead.
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