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I started this set up with the native Coda AI, but it failed too often to behave as a helpful assistant. I moved to Gemini. This AI can handle larger texts, but seems to make up stuff here and there. For the moment, AI seems not good enough in this context, certainly not when the texts are long. Click on the button below to test if this time it works for you ⤵️
summary of Coda
2024 Year in Review with Coda + Grammarly | Webinar
played: Wed, Jan 29, 2025, 14:00
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2024 Year in Review with Coda + Grammarly | Webinar
there were 63 major launches it s always hard to really pick um out of that set but I picked uh my top five so let me or so public in the gallery uh and we took them and and turned them into the basis of a new AI chatbot uh that we one way to think about it is that grammarly is probably one of the oldest uh agents sort of the original agent for the last 15 years it s been helping millions of people actually 40 million uh people use grammarly every day um to communicate better in every product that they use and there s a one really important secret for what the grammarly product achieves is that that it works directly in every application you work in so Alex and Max the gr co-founders call this the AI superhighway it allows AI to get all the way to the edge right in the surfaces that that users working um there s only one problem with it is that if you think think of that AI Super Highway there s only one car running on that super highway today it s the proof reader and it s a really good and impactful one but there was a lot of discussion about what else would you do if you had access to all the different uh places where people are working all the time meanwhile at Kota we talked a bit about what we ve been doing with Kota brain where we ve really been taking Kota packs and turning them from uh a structured declarative interface to a conversational one that s what we ve been doing with with Cod of brain allows you to ask questions of your Gmail of your Salesforce of whatever other systems you might have and we thought clicked that what if you could have agents that thousands of them that actually understood all your information and work right where where you work maybe just give a quick example imagine you re writing a customer memo and right now the grammarly assistant can help you make sure you re communicating effectively and using the right grammar in tone but what if it could also help you make sure that you have all the right facts for that customer have pulled the right feedback and have uh um all the latest information on their requests so that s one piece of what we talked about all these agents um with grammarly being one of the most important ones a proof reading agent uh and every pack all being available right to the edge of every everybody s work experience the second thing we talked about is the future of applications and we talked a lot about things that the team had been working on was thinking about what would that core productivity space feel like if they were building something uh first party and we found that a lot of what was uh what was being discussed was very close we started talking more and more about it we realized that of course we don t want to just help people build uh uh simple documents everybody who uses Koda knows that it s actually an application building surface in Disguise um and know there s a lot of teams out there working on AI and AI related things you know people that are uh building agents that can code and browse the web and so on but I really think that what we re working on with gr and Kota is very unique because it allows both companies to start with the blinking cursor that users actually work with so that s a little bit of a backgrounder on what we re up to uh like I said it s week three so we re we re really just getting moving but I thought it d be great to take a little peek into where we re headed uh for next year so with that I m uh along with no Just sh we got to see your notes on the screen so we could see um just how good incredible progress in 2024 really uh really proud of the teams uh and what they accomplished um so I m going to comprehensive intentionally um our our teams you can trust that our teams are working on a very wide set of continues to be uh the tool that teams can really rely upon for their most critical work and as share alluded to you know we ve been on this kind of multi-year Journey to create uh what we feel like is is really the best and most giving access to the rest of the source doc that s in view only mode right now we intend to enable editing uh this year and this year we also plan to enable what s been a long awaited capability which is securely sharing a page from any doc um and the cool part is this enables um so many scenarios that we ve heard about from the community and and that want to securely share information with different clients from a single kind of Hub where they do their work um
Lan Shackleton he s the chief Park officer of Kota and by n Linsky the chief Park officer of grammarly and uh
we ll be going through a few different topics for those of you that are new to this we do this every year in January um
generally we just uh spend our time looking backwards at uh the previous year this case 2024 giving a little bit
um there s obviously some new context this time as we have combined companies together with grammarly and so we re
going to talk a bit about some of the plans there as well um just in terms of uh how to navigate the the dock um uh
feel free to jump ahead to questions and oops looks like a lot of people found it already um so add your questions in here
uh your votes do matter there s no way we re getting through all of these um so uh please jump in and uh add your
questions um there s also a wish list um love the signal we get from this every year uh so please add your thoughts to
the wish list of things you really want us to to work on things you may already have thought of or things you think of
no uh no hard feelings if I didn t pick something you worked on but uh they re all my all my favorites um all right so
audience often knows we use this term a lot lowering the floor raising the ceiling um and this year we focused a
lot on lowering the data floor in particular uh Kota has long been known for having uh some of the most flexible
and Powerful databases uh of all the different products out there um but we also heard a lot of demand for wanting a
table in your document it s it s called grid um and it s a layout structure it actually is just canvas cells in each
cell so we got to reuse a lot of our core technology there U and we ve been adding features to this as we go very
popular um uh feature especially as you re just trying to lay out a simple document maybe you re laying out pros
and cons or trying to trying to make a quick list and you don t want all the features of a full database um that was a great starting
large projects in Kota um there s a lot of different things they did I picked out just two of them um so the first one
was timeline views so we ve we ve had timeline views for a long time and we ve been uh improving them quite a bit uh
but by far the number one feature request in Timeline views was uh dependency management the ability to add
interface um so there s now three different modes for how you can do that um with all flexible and
strict and then the other big request was sub items so you could uh technically model sub items in Koda
using relation columns but now we added them at the first class concept um so you can now get sub items directly so
you can get that infinite hierarchy uh underneath is still uses relation columns so you can still do things like
good building block and turning it into a much more natural entry point all right let s talk about working
across document so as uh teams grow with Koda they end up with lots of different documents that they re using the uh a
few different things the team has been working on here um I m guessing it is no surprise to this group but the number
one feature request in Kota uh is almost always the ability to share individual pages from aoda do um we a couple years
ago uh we set up a road map for how we re going to do this it tends to be more complicated in Kota than some other
that can span uh Pages uh so the team has diligently been working through uh getting this out in stages in four steps
is you can now add a sync page to a document um and instead of uh saying only people with Source access you can
say everyone in this document and you don t have to share the underlying docent document anymore so now for
example if you have a document with a page per customer you can now embed that page in uh in that customer s Hub and
that customer can t see the rest of uh the rest of the customers um right now this is readon edit mode and so on are
coming uh coming soon and then we ll get to step four with the direct share page entry point the other big thing we
um and we just spent a lot of energy making them better A lot lot of things went into what may seem like uh simple
uh features but a lot of work went into this um so cross tables now support ad row and delete row um uh also one of the
big ux changes is now you can set the filters for your crossback table as you insert it instead of having to do it in
all right number four Koda brain so I personally spent a lot of time on Koda brain this year um for those less
familiar the basic idea is very simple we took all the different packs of Koda so there s now thousands of packs um
call a Kota brain and one of the big uh differences here is that it looks and feels like chat GPT but it knows all
to DRS Salesforce and and whatever else it could return unstructured and structured results um they can take
those results and put them into different presentations and of course then add them to a document so you can
take action from there um so this is rolled out to a few dozen customers now um iterating quickly on this as we go
and there s a bunch of new things coming here I think Lane will talk about in a little bit all right uh number five I um I
picked one actually from the community uh in this case I picked a really fun event we did uh with Lenny so uh Lenny
maitz is a very popular podcaster um this was his first event ever and he decided to do it in partnership with
Kota uh which meant we helped him plan the event but we also ran the event both the front end and the back end entirely
the event uh probably no surprise I decided to talk about rituals of great teams um in this case I uh I picked out
a set of rituals about great decisionmaking and if you want to watch The Talk the URL is at the bottom it s
on my profile um and it ll probably be again no surprise but many of the rituals described in that talk uh have
I ll play a little video in case anybody missed it uh this is what day one looked like um for coming to the office decided
it s not how I expected the year to end either um but it s been absolutely amazing uh I m on on week three here now
and I thought um we re going to talk a little bit about some of what we re going to be working on together but I thought I would take a moment and just
give people a little bit of the story of uh how this happened as well let me let the video finish there we go that was a
so um let me tell you a little bit about how this came to be so uh I was in the middle of planning for 2025 uh had
our board and advisers about it and one of them suggested that maybe we should talk to the team at grammarly um first I
wasn t that sure uh but they insisted that it would be um it would be fruitful H and so I ended up spending a day with
the the grammarly founders where we just exchanged our vision memos and discovered that they really felt like
puzzle pieces they felt like the very complimentary plans on what we were working on together and basically by the
end of that uh that day we decided it be uh much faster and much more fun uh to do this together um there were two
particular things we we talked about there um uh one was we talked a lot about the future of agents and in AI H notes
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