Agree with the comments that it's nice to get a glimpse behind the curtain and a more tactical look at how to thinking about building our own workflows. I feel like there's often a gap between the strategic view of all that is changing and the day to day work to get things done. Anything to help bridge that gap is appreciated!
Thanks Azeem and the whole EV team! Awesome and useful! I love how the unconstrained mindset enables such a creative use of the tools to deliver value and efficiency so fast. This way of using AI is a concern in the corporate environment (and on personal data from European perspective). Implementing something like this in a corporate setting (especially in Europe) is extremely difficult and time consuming, which actually feels on a daily basis as an obstacle that gets larger each day as others less constrained advance quickly. I’ve been meaning to write a post about this (and how the compounding effect of this can be a big problem), but even for that feel somewhat hamstrung by the possible implications of posting it. Any thoughts on this from the EV team / community?
The emotional component is interesting. I also feel stronger about downtime to have things settle in. I had to switch from a psychology of scarcity to one of abundance.
On the list of tools, you might want to consider Descript. It uses AI (ASR) to create a new, textual approach to editing video.
I wrote about my experiences with Descript here. It does not make something more efficient or speedy but it takes a fundamentally new approach. https://hoeijmakers.net/descript/
We collaborate with Claude, ChatGPT and Gemini on brainstorming and editing but don’t use any specialized writing tools. We’ve tested a few but the results are stronger when working with the model directly
@azeem great start, but what I'm really interested in is how you orchestrate all of these tools, and the major abstract workflows that you've landed on!
Great stuff, really useful. So how did you build that agent to pull expenses and invoices out of your inbox and enter into a sheet - was that Hoop from the list? This is a lovely accelerated guide to the territory, am going to use this stuff to further encourage trying out tools in lower risk scenarios to build that team reflex out beyond the dev team, and to prepare for tackling more critical bits. Love the modular insight. Thanks!
valuable lessons! quick follow up qns - how has info gathering, structuring and sharing changed? are there lessons around maximising sonar, firecrawl, gemini grounding, social listening etc and the info architecture / rag behind it all?
Amazing post. It will be a great add to see a short video that shows someone in the team using one of the workflows.
@azeem I need your travel expenses automation! Would you consider sharing a deep dive on your setup?
sure. will explore that in a future essay. cc @marija
Agree with the comments that it's nice to get a glimpse behind the curtain and a more tactical look at how to thinking about building our own workflows. I feel like there's often a gap between the strategic view of all that is changing and the day to day work to get things done. Anything to help bridge that gap is appreciated!
Thanks Azeem and the whole EV team! Awesome and useful! I love how the unconstrained mindset enables such a creative use of the tools to deliver value and efficiency so fast. This way of using AI is a concern in the corporate environment (and on personal data from European perspective). Implementing something like this in a corporate setting (especially in Europe) is extremely difficult and time consuming, which actually feels on a daily basis as an obstacle that gets larger each day as others less constrained advance quickly. I’ve been meaning to write a post about this (and how the compounding effect of this can be a big problem), but even for that feel somewhat hamstrung by the possible implications of posting it. Any thoughts on this from the EV team / community?
This is ridiculously useful. Thank you!
thank you @azeem, @marija @chantal @Nathan and @Will for this very very generous post sharing your collective intelligence
Thanks for the good pointers, Azeem! Much to think about in this article.
The emotional component is interesting. I also feel stronger about downtime to have things settle in. I had to switch from a psychology of scarcity to one of abundance.
On the list of tools, you might want to consider Descript. It uses AI (ASR) to create a new, textual approach to editing video.
Thanks, we missed out a whole load of tools we do use, now that I think about it, including Descript and Otter. Will add to the catalogue
I wrote about my experiences with Descript here. It does not make something more efficient or speedy but it takes a fundamentally new approach. https://hoeijmakers.net/descript/
yeah, we’ve been using Descript for several years, including the recent video post we put out re: my portfolio message
Forgetting to mention a well used AI tool is maybe the best compliment for it: complexity solved by clever use of technology.
Amazing - thanks Azeem and team - heaps of good stuff here! I've shared with my team.
Absolutely brilliant. Plenty to help me improve my work.
Since content is central to EV, I'm surprised not to see any copywriting tools mentioned. How do you use AI to help write articles?
We collaborate with Claude, ChatGPT and Gemini on brainstorming and editing but don’t use any specialized writing tools. We’ve tested a few but the results are stronger when working with the model directly
THANKS!
@azeem great start, but what I'm really interested in is how you orchestrate all of these tools, and the major abstract workflows that you've landed on!
we might talk about that in future
Great stuff, really useful. So how did you build that agent to pull expenses and invoices out of your inbox and enter into a sheet - was that Hoop from the list? This is a lovely accelerated guide to the territory, am going to use this stuff to further encourage trying out tools in lower risk scenarios to build that team reflex out beyond the dev team, and to prepare for tackling more critical bits. Love the modular insight. Thanks!
i built the agent in Lindy.AI and used GF2 as the LLM.
I have been playing with Agent.AI recently and that is a lot of fun.
valuable lessons! quick follow up qns - how has info gathering, structuring and sharing changed? are there lessons around maximising sonar, firecrawl, gemini grounding, social listening etc and the info architecture / rag behind it all?
An amazingly helpful post - it takes the AI-is-magic starry-eyed wonder ✨ and translates it into a tanginble toolchain 🛠️.