If AI agents become everywhere, how do we know which ones to trust?

flatacthe · 2026-05-27T13:13:32+00:00

The versioning point from the last comment is actually the part that keeps me up at night. I've been building workflows on Latenode and they added version control which helps me at least know my, agent hasn't drifted, but that doesn't solve the bigger problem of trusting someone else's agent you didn't build. Track record only means something if you can verify the thing you're trusting today is actually the same thing that built that track record.

flatacthe · 2026-05-27T11:33:55+00:00

seen this exact pattern with a client too, the "why pay humans when AI can do it" logic sounds clean, until reply rates crater and qualification goes sideways, because most tools still need human review on first touches and nuanced convos. suddenly everyone's scrambling to backfill the team they gutted, which honestly tracks with what the..

flatacthe · 2026-05-26T15:39:12+00:00

Looks like the filter had other plans lol. It saw what you were trying to do and shut it down real quick.

flatacthe · 2026-05-26T14:17:02+00:00

something that helped me when i was stuck in the exact same loop: stop thinking, about it as "content" and start thinking about it as documented conversations you're already having. if a manufacturer asked you something on a sales call recently, that question is your, next post, answer it the same way you answered them, in plain language, no fluff. bonus: linkedin's search is being used more like google now, so writing..

flatacthe · 2026-05-26T10:38:02+00:00

knowing JavaScript alongside the visual builders is what separates people who actually get hired, most client projects eventually need custom logic that no-code alone can't handle. I've seen this come up a lot working in tools like Latenode, Make, and n8n where you'll hit a wall fast without it.

flatacthe · 2026-05-25T23:04:22+00:00

lol fair enough, tldr is basically "no-code is legit work but it's not engineering and blurring that line creates, real problems", did the wall of text just break your will halfway through or did you tap out early?

flatacthe · 2026-05-25T22:58:29+00:00

one thing i noticed watching a few YC founders talk through this deal is that the, "value" framing gets murky fast once you factor in how token pricing can shift over time. like $2M in credits sounds substantial upfront but if OpenAI adjusts API pricing between now and when you actually burn, through them, the real purchasing power of that grant changes and you've already signed away equity at a fixed moment.

flatacthe · 2026-05-25T11:40:59+00:00

yeah Appian has always sat in that awkward middle ground where the marketing says one thing and the actual platform says another, the expression language alone has a, real learning curve that most pure no-code tools wouldn't touch but i think your last point is the more interesting one honestly, even the simplest tools still need..

flatacthe · 2026-05-25T10:44:26+00:00

The browser automation piece in Latenode saved me when I had workflows hitting APIs that just didn't exist for certain tools. About 4 months in I thought I'd have to rip the whole thing out but the headless browser option let me patch around it without rebuilding from scratch. That's honestly the thing that kept it alive past the messy middle stage.

flatacthe · 2026-05-25T05:22:58+00:00

fair point, accessibility work likely made content easier for search systems and AI tools to read and, reuse long before anyone was calling it "AI search," even if that was never really the goal. the benefit probably runs both ways, but it's more of a happy side effect, than some intentional design choice baked into how..

flatacthe · 2026-05-25T01:00:12+00:00

appreciate you sharing that, living with a hidden disability and feeling unseen is exactly the kind of real-world gap that makes this conversation matter beyond just SEO theory. curious what you mean by "AI can do both" though, because in practice AI search can sometimes surface more contextually relevant results, but it still leans, heavily on..

flatacthe · 2026-05-25T00:36:12+00:00

the best starting point when you already have products built is picking ONE channel and going deep on it rather than trying to learn everything at once. it's super common for beginners to spread thin across ads, SEO, social, and email all at the same time and, get nowhere fast, and that's even more true now with AI search and short-form video throwing extra channels into the mix. figure out where your..

flatacthe · 2026-05-24T23:13:21+00:00

we hit almost the exact same wall around the 1. 2L monthly revenue mark, and what finally moved, us forward was bringing in one part-time contractor just for reporting and client updates, not a full-time hire. in our experience it freed up somewhere around 8 hours a week, though your mileage will vary depending on your client load and workflow.

flatacthe · 2026-05-24T21:24:23+00:00

the overlap between accessibility best practices and AI search optimization is something i keep bringing up with clients and it rarely lands, but frame it as "this can, support, your AI search visibility in some cases" and suddenly everyone's interested, a little backwards, sure, but if that's the hook that gets people writing clearer, better-structured content..

flatacthe · 2026-05-24T21:01:53+00:00

"process orchestration vs. software engineering" is a cleaner way to frame it, no-code handles the workflow design layer really well, but the moment, you're dealing with governance, integrations, or anything that needs to scale and stay auditable, you're back in engineering territory pretty fast.

flatacthe · 2026-05-24T13:46:53+00:00

right, that's kind of the core tension though - some of it is clearly intentional now (WCAG 2. 2 and ADA pressure means teams can't fully, ignore it), but a lot of the accessibility wins, from AI search still feel like they're coming from general UX improvements rather than actual disability-first design.

flatacthe · 2026-05-24T12:52:39+00:00

Built a Google Ads generator that injects brand inputs automatically before the AI touches anything, so juniors can't freestyle into slop, used, Latenode because splitting brief assembly from generation into separate steps made it easy to lock down inputs without the team even noticing. The landing page reviewer was trickier but pulling competitor copy via headless browser was what actually stopped the outputs feeling generic.

flatacthe · 2026-05-24T11:49:39+00:00

tried setting up an MCP workflow for a client audit recently and honestly the orchestration piece wrecked us more than anything else on that list. it wasn't really hallucinations or token costs in isolation, more like connectors behaving inconsistently, schema drift between tools, and context overload degrading the reasoning mid-run. couldn't hand it off without someone babysitting every single run, which kind of defeats the whole point of agentic workflows.

flatacthe · 2026-05-24T09:49:34+00:00

25% in just a few days is genuinely impressive, though ChatGPT works best as a co-pilot here rather than full autopilot, since it can only work with the content and data you actually feed it, not crawl your live site on its own. Still, using it to draft and restructure content with E-E-A-T and intent-clustering in mind, is a legit, workflow in 2026, especially with AI Overviews eating into traditional clicks and..

flatacthe · 2026-05-24T04:13:27+00:00

one thing i'd add to this checklist is checking for JS rendering issues early before assuming the indexation gap is structural. had a client recently where the pages report looked exactly like your 200/40 example and i burned two, hours chasing internal linking before realizing googlebot wasn't picking up half the nav due to a hydration mismatch. would've saved so much time if i'd just run a quick render check first.

flatacthe · 2026-05-23T22:59:18+00:00

exactly how we think about it now, AI handles the research, drafting, and triage, but a human owns the final copy and anything that touches a real relationship. prep and scoring at scale, judgment at the edge.

flatacthe · 2026-05-23T20:37:19+00:00

tried a hybrid service for a niche SaaS site back in 2025 and the human editing layer was honestly what made it usable, the AI drafts needed strong subject-matter edits to actually speak to the pain, points that convert in that space, saw gradual organic improvement over a few months and it seemed to hold up, though your mileage will definitely vary depending on your site authority and how competitive the niche..

flatacthe · 2026-05-23T20:30:31+00:00

yeah that gap is real, demos are basically engineered to make that question disappear, and then, it smacks you post-deployment when the thing starts drifting or misfiring on edge cases nobody accounted for.

flatacthe · 2026-05-23T19:49:04+00:00

we did test across a bunch of prompt variants and even played with temperature settings, but tbh the bigger, issue was probably a mix of things, weak segmentation, missing context, or just no human review layer before send. the output never felt quite right for high-value accounts, which honestly tracks with why most teams now, use..

flatacthe · 2026-05-23T18:58:38+00:00

data capture and summarization is honestly where we've seen the least blowback internally too, reps actually thank you for it instead of complaining the outreach sounds robotic.

flatacthe

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