WEBVTT

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video I want to give you a quick overview of our process here at Enovo. We've been in business for

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about since 2010 so we're coming up on 15 years and we've tried a lot of different processes and

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one huge thing that has been helpful is we read Shape Up. It's a book by Ryan Singer and from the

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guys at Basecamp and 37signals and that's been very helpful and we kind of got some general idea

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of our process from there and then in 2025 we've been working directly with Ryan to refine our

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process as an agency and really adjust that to be much more specific when working with clients.

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So let me walk you through kind of how we see projects going and how we like to think about

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projects. So first off this diagram is very helpful because this is sort of the cycle of a

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project. We start with framing a project. This means we're just figuring out like general boundaries

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of the project. How what's the appetite going to be which always you know reverts back to a cost

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it translates to cost for the client. Then once they approve the project we get into shaping it

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getting very clear about what we're doing doing prototypes breadboarding things like that all

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just to bring clarity. So it's kind of everything that you could do building it except for writing

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the code. So just spending a little bit extra time on that and taking taking time not don't jump right

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into just building it and writing code immediately. Then we go to build it and then of course shipping

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and we have ship as its own phase because there's a there's sort of a process to it sort of bug

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testing ruling out edge cases there's some little things to do before you you know actually ship it

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and then we sort of you know repeat that cycle with our clients and we like to think of it like

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this if you've seen the hill chart analogy of a project from Basecamp as well we've copied that

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here where uphill we're really focusing on all the unknown things about the project we don't actually

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know how tall this project how big this project is going to be so we're kind of just working our

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way uphill climbing this mountain at some point we're going to hit the peak and we're like cool

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we're at the top we have concrete understanding of what all we have to do and it's super clear now

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and then we just go to the build phase and we just essentially it gets easier and it is has

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sort of a downhill feeling where it's all the things that are known we know how to build this

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tool we know how to build these components it's very clear at this point and so in the first part

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we're doing a lot of framing and shaping that translates to doing a little you know ai prototypes

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with v0 breadboarding with fig jam and then reviewing things with clients and on the uh it's

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really the human side it's the meetings it's it's digging in it's it's like really uh researching

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like the best strategy for this thing and and uh getting a lot of clarity where there may not be

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clarity in the project and then on the right side once we go downhill that's where we want to you

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know leverage all the ai stuff to uh write the code to build it um making sure that it's uh you

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kind of take the role of the senior developer and you you know have these junior ai developers

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build this all for you so this is a very helpful table here as well we've got this framing step

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figuring out the problem the outcome appetite uh we're going to be using fig jam notion and the

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shape up gpt for that uh on the shaping side we're breadboarding and doing data architecture

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we use typically use fig jam just a virtual whiteboard uh rapid prototypes you know just

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clarifying unknowns quickly um the prototype can help do that we use you know v0 and figma and

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other uh tools for that task grid we're essentially working through and just making sure that we've

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broken the entire project now into no more than nine sections of the project and then having

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various tasks into each one of those sections and each section can kind of stand on its own

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so when we come in and look at the project we can get a good sense of where we at like

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we've got these two or three sections done and now we're working on the fourth

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it should be very clear um and to see meaningful progress done um we also once that's done we do

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the ai-friendly uh project requirement doc and we programming ai to do to use precision when it

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works through its tasks and of course build and ship you're just using your favorite ide

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cursor windsurf whatever you want uh and so and then you just build it so that's sort of our

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overarching process for this there are videos for each one of these and we'll dive into details on

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how we do each of these things and if you have questions you can always reach out to us

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but this is an evolving process and we'll continue to update these videos as our process changes