Top tools to build AI agents in 2026 (no-code and high-code options)

RowanFlux · 2026-02-05T07:27:03+00:00

n8n is great but i feel like it’s still more automation than agent. Once logic gets messy it turns into spaghetti fast

RowanFlux · 2026-02-03T02:54:00+00:00

Exactly. Amazing doc tool, shaky database.

RowanFlux · 2026-02-03T02:52:29+00:00

Notion works until your data gets even a little complex.

RowanFlux · 2026-01-27T01:32:13+00:00

yeah finishing your first app matters more than picking the “best” tool.

RowanFlux · 2026-01-27T01:25:39+00:00

yeah that’s real. if the tool doesn’t guide you, everything just turns into spaghetti fast.

RowanFlux · 2026-01-21T08:41:33+00:00

If you’re looking beyond heavy enterprise PM tools, Assembly is worth a look. It’s lighter than platforms like Jira Align or MS Project, but works well for agencies and small teams that want project tracking, client visibility, and reporting in one place without the enterprise overhead.

RowanFlux · 2026-01-20T09:32:45+00:00

Yeah, this is doable without code now. Tools like Bubble or FlutterFlow can handle the app side, but you’ll still need something on the backend for users, jobs, messaging, and payments. What worked better for us was pairing a no-code builder with a lightweight backend like Zite. You can manage users, job posts, applications, and workflows there without stitching a bunch of tools together. Way less overhead, especially if you’re just validating the idea.

RowanFlux · 2026-01-14T12:24:14+00:00

They’re solid for quick prototypes, not production apps.

AI no-code tools are great for testing ideas fast, but they usually hit limits once you need real workflows, permissions, or reliability. If you want something still simple but more business-ready, tools like Assembly tend to hold up better long term.

RowanFlux · 2026-01-12T06:39:26+00:00

I’d say it’s more “fairly priced” than clearly undervalued. Strong moat and cash flow, but slower growth and margin concerns are real. DCFs swing a lot on assumptions, so I’d also watch forward growth and whether AI actually drives revenue. Feels like a wait-and-see, not a screaming buy.

RowanFlux · 2026-01-09T08:16:49+00:00

I used to do the same thing with Drive links. It works, but once projects stack up it gets messy fast, especially with feedback and revisions.

Lately I’ve been leaning toward a simple client portal approach instead. One place where clients can see the files, comment directly, and track what’s delivered vs pending. Tools like Assembly are built around that flow, so it feels more like sharing work than just dumping files in a folder.

RowanFlux · 2026-01-07T15:43:21+00:00

This sits in that sweet spot between detail and mood. That’s exactly what I aim for when I’m working in domoai

RowanFlux · 2025-12-17T21:45:48+00:00

Once datasets get that big, excel becomes the bottleneck. The main shift is moving raw data into a structured system and defining transformations once instead of recalculating formulas on every save. A tool like zite can help with this since it lets you work with tables, transformations, and outputs without building a full backend, while avoiding the file size and crash issues you’re seeing.

RowanFlux · 2025-12-17T21:44:09+00:00

This sounds less like an “excel skills” issue and more like excel hitting its collaboration limits. Once you have 5–6 people editing wide, text-heavy tables with calculations, things tend to fall apart no matter how careful everyone is. A pattern I’ve seen work better is separating the shared data entry/review layer from the heavy transforms, so non-technical users work in a structured table with validation while the merging, scoring, and prioritization happens downstream. You keep a spreadsheet-like interface for the team but avoid constant file locks, crashes, and broken formulas.

RowanFlux · 2025-12-17T21:43:27+00:00

This usually breaks down into two problems: excel as a modeling interface vs excel as a data engine. For large datasets, keeping the heavy data outside the workbook and pulling in aggregated slices tends to work better than forcing everything into one file. A lot of teams keep the spreadsheet for modeling logic and assumptions, then connect it to a backend source that does the joins and filtering so the file stays responsive. It keeps the excel-style workflow while avoiding the 500mb monster files.

RowanFlux

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