Automate the world
Build reusable workflows to go from data to documents and back.
Don’t skip the most important parts of building apps.
Having a clear plan will lead to a higher quality product with a greater return on your investment.
Plan and design automated workflows.
Use powerful, free, community-driven methods to describe the work that needs to be done. This critical part is completely non-technical.
Identify the tools and possibilities.
There are a LOT of tools and providers out there (some are even free or low-cost). Know what to look for, and what to look out for.
Build and evaluate your automation.
Make your plan a real, functioning widget, application, API, or pipeline and make sure you are getting value from the end product.
What makes for a solid plan?
Great plans don’t create themselves. How can you avoid “accidental architecture” and the pitfalls of “build-first; fix later” approaches to software planning, while remaining flexible to changing requirements?
Event Modeling is the best planning methodology we have tried, and we’re convinced that the plans it produces are the most accessible to both non-technical and technical stakeholders, without being too rigid or overly simplified. You can read more about Event Modeling, right from the source.
We take a very non-technical approach to our Event Models, and surprisingly, this leads to better technical documentation.
What are the right tools to use? What do I need to know?
It’s a jungle out there, and it’s easy to get caught up in the “hype” of new tools.
Learn the common terms
LLMs, MCPs, prompts, context windows, processors, servers… the list goes on. We’ll get you our cheatsheet so you can have high-level conversations about these things.
Understand security and privacy
Is it safe to send your customer’s email to [your AI provider here]? Are there rules about storing and processing certain kinds of data? There is a lot to cover here.
Know the costs and risks
When is “free” okay? How much will it cost to run your apps and automations? What happens when platforms have outages?
How (and where) do you build your solution?
There are more tools now than ever before, and each one has its own set of benefits and challenges. As the major players in the AI space continue to improve their offerings, the tools are rapidly evolving and expanding their capabilities. We have our favorite tools for low/no-code (both “free” and paid) and we have an opinionated take on custom development (whether in-house or contracted out).
We also have some strong opinions on how you can determine if your product is a success and some key metrics to measure.
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We’re working on a simple workflow builder for generating beautiful, branded output. We’re also writing hands-on articles about planning and building real-world applications (both low/no-code and full-fledged software projects). You can always check back to this site, or you can leave your email, and we’ll tell you about new content.