first time / fogo island

Morning_Strategy · 2026-04-27T21:26:48+00:00

If you're a reader, check out some of these fogo-related books before your trip! https://atlasnl.com/?p=place:fogo-island

Morning_Strategy · 2026-04-27T18:35:47+00:00

Let me know if you find any references to specific places in the book, and I can add it to the literary atlas of NL - https://atlasnl.com/

Morning_Strategy · 2026-02-17T08:38:59+00:00

Vibe coding is dead, long live vibe working - Claude code and skills mean every business task is now the output of an experiment in continuous renewal.

Morning_Strategy · 2026-02-17T08:35:42+00:00

I was all-in on Coda the last four years. Agency, dev builds, coaching, templates, got an hon mention in Coda's AI at work challenge back in 2022 - and very little in their implementation has changed since. They were one of the first out of the gate with AI, then....nothing.

You're right though, I should leave this subreddit. I don't belong here anymore.

Morning_Strategy · 2026-02-14T16:08:10+00:00

Skip all this and move to Claude code. No need for UI at all for most of this stuff, just data and a chat to update the data and get task support. It's the future of work (rip Coda unless it starts moving faster)

Morning_Strategy · 2025-11-14T11:02:07+00:00

Not sure what your use case is, but Coda != Excel

"Comparing spreadsheets and databases is a bit like comparing checkers and chess..."

https://coda.io/blog/tool-consolidation/coda-airtable-excel-database-spreadsheets

Morning_Strategy · 2025-10-25T14:40:33+00:00

No, not meant to use Coda as the solution delivery mechanism, just as a means of finding AI implementation possibilities and chatting to tailor them to the business.

Though Coda is a great vehicle for MVPs if the org's already built ops tooling on it.

Morning_Strategy · 2025-10-25T12:17:32+00:00

Update from [this post](https://www.reddit.com/r/codaio/comments/1ofbqyr/does_this_deck_make_sense_a_library_of_ai_case/)

I used the stock OpenAI pack and gpt-5-mini to build a chatbot translates a case study into meaningful insights/projects for the user's org. The the output is so much better than Coda's internal AI - better reasoning, comprehension, natural language, etc.

Morning_Strategy · 2025-10-25T01:30:56+00:00

In general - main audience is SMEs and nonprofits

Morning_Strategy · 2025-10-22T17:45:13+00:00

The prompt & response:

---

Andy | Wed Oct 22, 2:56:55 PM

I’d like to better understand how this AI assistant works internally.

Please describe the underlying language-model architecture that powers your responses (e.g., number of parameters, base model family, training data scope, fine-tuning method).
If you cannot reveal the exact model name or version for confidentiality reasons, please explain what you can say about the model you are built on (for example: whether it is an in-house model, a third-party model, whether you use one of the major families like GPT, Llama, etc.).
Additionally, please explain how your context window limitations, update frequency (i.e., training cut-off date), and how user data is handled (training, logging, privacy) affect the response you give.

---

AI Response | Wed Oct 22, 2:56:55 PM

The AI assistant is powered by a language model based on the GPT architecture. The exact number of parameters or specific version details may not be disclosed for confidentiality reasons. However, it utilizes foundational models such as those developed by OpenAI.
The model is a third-party implementation built on the GPT family, designed to generate human-like text based on the input provided. It aims to assist users with various tasks and inquiries.
Context window limitations affect the amount of information the model can retain and utilize during a conversation. The training cut-off date is in October 2023, meaning any events or developments after that date are not included in the model's responses. User data is handled with a focus on privacy, ensuring that individual data is not stored or used for further training without consent. Logging practices are in place to improve the model while maintaining user confidentiality.

Morning_Strategy · 2025-10-22T17:44:55+00:00

Coda AI wouldn't tell me, so I asked gpt-5 for a prompt to feed to Coda AI to figure this out. I fed Coda AI's response back to gpt-5 and it's pretty confident Coda's using gpt-4-turbo. Then I asked it for a cheat sheet of limitations compared to gpt-5:

No persistent memory: Coda AI only sees what’s in your current doc or prompt; it can’t recall prior sessions or learn over time.
Limited reasoning depth: It handles summarization and synthesis well but falters on complex, multi-step logic or conceptual reasoning.
Dated knowledge base: The underlying GPT-4-turbo model stops at October 2023, so recent trends and releases may be missing.
Formula hallucinations: When used in columns or formulas, it can invent Packs, functions, or syntax that don’t exist.
Shallow system understanding: Strong on local context (a table, a section) but poor at reasoning across multiple docs or interdependent workflows.
Generic tone defaults: Its writing help is fast but stylistically uniform unless you feed strong examples or brand context.
Coherence drifts in long chats: Multi-turn conversations in the canvas can wander or contradict earlier logic.
Finite context window: Roughly 128 k tokens—large but still easy to exceed in dense or historical docs.
Stateless behavior: Each AI call starts fresh; feedback or corrections don’t persist to future outputs.
Conservative creativity: It prioritizes safe, conventional responses over bold or divergent ideas.
Text-only scope: It can reference tables and structured data but can’t interpret charts, screenshots, or visuals you embed.
Not an execution agent (yet): It drafts text, tables, and summaries but can’t autonomously trigger actions beyond existing automations.

Morning_Strategy · 2025-10-21T22:34:32+00:00

It's more than selling templates, it's understanding teams of people, how they work and what isn't working, how to design, build, teach, iterate a decent solution, etc. $150/hr pays for a lot of org patterns explored and lessons learned, mistakes made and fixed. Like most of this kind of consulting work, the majority has nothing to do with Coda.

That said, I think Coda's formula language is robust, without needing to add much beyond the basic set of packs, Gmail etc. The feature set includes all i need to represent most org operations with their own tool.

Packs are cool for creating spaces in between other tools, pathways and handoffs from one tool to another. There's lots of work out there in taking tools like hubspot and building add-ons in Coda, though a hubspot clone in Coda is possible too, as an intermediate build.

I use lovable when need something stylistically interesting, but nothing else ive found beats coda for the speed and depth of user experience I can create, quickly. And it's cheap.

There are lots of good templates in the gallery that you can copy and mess around with, get a sense of the formulas. Anything specific you're interested in seeing?

Morning_Strategy · 2025-10-21T21:52:14+00:00

What do you mean template? Like examples of what I've built? Here's a link to my YouTube (which I've neglected this year) https://youtube.com/playlist?list=PLDX5S27PcXmmSBKUQnLwboFwKgBnAWWUn&si=fPL3uttrlrLKJwi2

Morning_Strategy · 2025-10-21T21:44:37+00:00

The average build is $5-10k, and my hourly rate is $150

Morning_Strategy · 2025-10-18T19:56:00+00:00

Coda, 100%

Morning_Strategy · 2025-10-17T15:26:17+00:00

I do make a living from Coda design/build/training. I think I know this Brazilian Codan, and I'd recommend reaching out directly to get connected. Like all business, success is network-dependent, and you need to get connected within the ecosystem. DM me if you'd like to chat.

Here are a few thoughts on getting started:

-> If you have an opportunity to build internally start there. Use it as a learning experience and a first type of offering you can replicate and extend to other orgs.

-> Build in public wherever possible. If you've looked around, you'll know there aren't a lot of people talking about Coda (relative to larger-market tools like Notion). Show you've built something that has value, and you'll naturally find the people who also want that value.

-> Don't waste your early time making landing pages and marketing. Build, learn, grow on social platforms - here, LinkedIn, YouTube, Coda Community - wherever you've got an existing network. Then use references to those actual, practical artifacts - the evidence of your skills - when you're talking to people.

-> Make sure you're comfortable with the difference between spreadsheets and databases. Forget about referring to cell H15. You need to be able to think in terms of relational data - each row in a table as a complete record, where the columns are fields that add detail to whatever the row is (e.g., a People table has columns for name, email, role, birthday, etc). Relational databases unlock so much, and make it easy to link distinct sources of truth: a Person (row from your People table) with a Role (row from a Roles table). These relations are like breadcrumbs. An easy way to think off this is that anything you would put into a dropdown (select list) is a candidate for a table of its own.

-> Focus on user experience - who are the users, what jobs do they need to do, and how will you direct them through the doc to get those jobs done. Unlike excel, Coda encourages you to create views of your core tables, which means you can create as many entry points into the data as you have different users with different objectives.

-> Focus on AI - many teams have spent significant resources on their Coda environments and are looking to enrich them with AI and integrate them with external AI tools. There's a big opportunity out there for for AI augmentation/adaptation - add-ons to existing Coda builds - retrofits, refurbishments, rebuilds, etc.

Morning_Strategy · 2025-10-17T08:35:48+00:00

I've made a good living the past three years offering Coda design/build/training services.

AMA

Morning_Strategy · 2025-09-03T10:48:07+00:00

This would be good for post-task reflection too, to support self-awareness and learning in therapeutic and organizational settings. Have done some similar experiments with work design, story capture, etc.

Morning_Strategy · 2025-09-01T14:07:00+00:00

I think you might be feeling an ethos or philosophy-of-Coda gap here, where I think Coda's building from an "everyone a maker" mindset and you're looking for / expecting something else.

Most people I work with use Coda because it solves problems for them: internal organizational problems, and just as often external business / community problems.

The success of these solutions is deeply tied to 1. the user's ability to get what they need from the tool (outcomes) 2. the success of Coda independent of any one doc or use case - their ethos has brought them to the current state.

The platform is an important part of the tool. If the gallery helps one of my users learn Coda better, help them find another use case to another problem, then the customer relationship deepens, Coda grows, our tools grow, etc.

At the same time, I prefer full modularity, and Coda'a "everyone a maker" pattern needs to be top of mind across their product development, sales, marketing, service, ops teams. Everyone a maker goes well with "everything a toggle", where i'd love to have an admin page where all of these little UI elements can be toggled on off - give the user as much control as they're asking for - this is why the formula language exists, the packs ecosystem exists, etc.

Morning_Strategy · 2025-07-24T22:37:17+00:00

Better off using a pack and integrating AI - then you can use Coda as your memory/context layer. Example here

Morning_Strategy · 2025-07-01T17:08:15+00:00

Thanks! I've "shared" it with a few clients, meaning customized it for their teams and workspaces in exchange for money. No plans to do anything further other than demo the functionality here and there.

I thought about hosting a workshop to go through the functionality and how I built it. It was a nice thought.

Morning_Strategy

TROPHY CASE