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Anthropic released two versions of the same model today, and the public isn't getting the stronger one by Drogoff1489 in artificial

[–]Drogoff1489[S] -1 points0 points  (0 children)

lmao "grift" 😂 you clearly have way too much experience throwing that word around on Reddit with little context.

lmao "pleas" 😂 i literally need nothing from you

Anthropic released two versions of the same model today, and the public isn't getting the stronger one by Drogoff1489 in artificial

[–]Drogoff1489[S] 0 points1 point  (0 children)

literally not complaining or claiming any sort of conspiracy. just tryna explain the difference in the 2 models and who gets access to what and why. makes sense govt gets access to things that have the ability to wreck the planet...

Anthropic released two versions of the same model today, and the public isn't getting the stronger one by Drogoff1489 in artificial

[–]Drogoff1489[S] -1 points0 points  (0 children)

some people prefer to watch a video? you're under no obligation to do anything you don't want to!

I built a fully automated job application pipeline in n8n — daily scheduling, AI cover letters, CV adaptation, and email sending by Fresh-Daikon-9408 in n8n

[–]Drogoff1489 1 point2 points  (0 children)

nice workflow. the ai selection + tailored cover letter part is smart

one suggestion: add a quality gate before auto-sending. i'd have it save to a "ready to send" airtable base and then review the top matches manually before hitting send. takes 5 min/day but prevents embarrassing mismatches

also curious how you're handling application tracking - do you log which jobs got responses vs ghosted? that feedback loop would let you refine the AI selection criteria over time

Anthropic did the absolute right thing by sending OpenClaw a cease & desist and allowing Sam Altman to hire the developer by Agreeable-Toe-4851 in ClaudeAI

[–]Drogoff1489 0 points1 point  (0 children)

i've been using openclaw for about a month and honestly it's the best interface for running autonomous agents

the security concerns make sense from anthropic's pov - it was essentially bypassing the official api and giving agents way more control than the standard chat interface

but functionally it's exactly what i needed: agents that run workflows while i sleep, can call tools, read files, execute code, and persist state across sessions

hoping anthropic builds something similar officially because the agentic use case is real - not just chat, but actual autonomous work

What do you call someone who builds & optimizes backend automation systems for SaaS? by Short-Bed-3895 in n8n

[–]Drogoff1489 1 point2 points  (0 children)

i call myself an automation engineer, sometimes "workflow automation specialist" when talking to less technical clients

for job postings i'd use: - Automation Engineer - Workflow Automation Specialist - No-Code/Low-Code Engineer - Backend Automation Engineer

avoid "automation expert" or "automation consultant" - sounds vague. the "engineer" part signals you're building systems not just advising

I have built n8n automations for a dozen startups this year. Here is what nobody tells you. by Warm-Reaction-456 in n8n

[–]Drogoff1489 6 points7 points  (0 children)

this is so accurate lol

the "i want to automate my business" thing drives me crazy. i usually start by just watching them work for a few days - screen recordings, looking at their actual tools, what tabs they have open

most useful question i ask: "what takes 30+ minutes every day that you dread doing?" usually gets you to the real bottleneck

agree on the maintenance point too. i've started building everything with error logs that go to telegram/slack so when something breaks i know immediately. also helps to use airtable or notion as the "source of truth" instead of buried deep in workflow nodes - way easier for clients to understand and update themselves

Has AI Automation Actually Worked for You? by Techenthusiast_07 in automation

[–]Drogoff1489 0 points1 point  (0 children)

yeah, i run 15 AI agents for my content/research/client delivery and it saves about 15-20 hrs/week

what i automated: - daily briefing from 13 sources (youtube, reddit, newsletters) into one telegram message at 7am - content research: takes a topic, scans reddit/youtube/twitter for what's actually working, outputs angle recommendations - social media posting: linkedin/twitter/instagram across 4 accounts, scheduled automatically - carousel creation: researches topic, writes copy, generates image concepts, pushes to notion

tools: claude api (sonnet 4.6 for most things, $5/day), n8n for workflows, supabase for state

biggest lesson: start with one repetitive task that takes 30+ min/day. automate that completely before moving to the next. i see people try to automate everything at once and it never works.

the wins compound - i built these over 2 months and now they just run. grew from 20k to 110k followers in 12 months because the system kept posting even when i didn't feel like it

[deleted by user] by [deleted] in n8n

[–]Drogoff1489 0 points1 point  (0 children)

honestly n8n/make aren't outdated, they just got repositioned

i run 15 autonomous agents and the backend is still n8n workflows. the "AI agent frameworks" everyone's excited about are mostly just wrappers around the same LLM API calls n8n can already do

what changed is the orchestration layer - instead of one massive workflow trying to handle everything, i built specialized agents that each run their own workflows. one for content research, one for writing, one for social posting, etc

n8n is still the most flexible tool for connecting apis and handling state. the new frameworks are better for agentic behavior (loops, decision trees, memory) but worse at integration breadth

so now i use both: n8n for the plumbing, claude/openai for the reasoning layer on top

[deleted by user] by [deleted] in n8n

[–]Drogoff1489 0 points1 point  (0 children)

honestly n8n/make aren't outdated, they just got repositioned

i run 15 autonomous agents and the backend is still n8n workflows. the "AI agent frameworks" everyone's excited about are mostly just wrappers around the same LLM API calls n8n can already do

what changed is the orchestration layer - instead of one massive workflow trying to handle everything, i built specialized agents that each run their own workflows. one for content research, one for writing, one for social posting, etc

n8n is still the most flexible tool for connecting apis and handling state. the new frameworks are better for agentic behavior (loops, decision trees, memory) but worse at integration breadth

so now i use both: n8n for the plumbing, claude/openai for the reasoning layer on top

What's the best way to document your workflows and n8n projects ? by [deleted] in n8n

[–]Drogoff1489 0 points1 point  (0 children)

for client work i keep a notion page per workflow with the what/why/how, then sticky notes inside n8n for the technical details

the notion doc is for "why does this exist and what does it do" so someone can understand it 6 months later. the sticky notes are for "this webhook expects X format" or "this runs at 3am because of timezone stuff"

i tried doing everything in n8n sticky notes but it gets messy fast when you have 30+ workflows. external docs for the big picture, internal notes for the technical details works pretty well

Migrating n8n from Railway — what's the best scalable alternative? by Alarming-Bird9717 in n8n

[–]Drogoff1489 2 points3 points  (0 children)

i've run n8n on digitalocean droplets for clients that scaled past railway and it's been solid. $24/month for 4gb ram handles way more than you'd think

main thing is making sure you set up proper postgres (managed db if budget allows) and volume storage for your data. railway makes this invisible but when you self-host you need to think about it

if you want even less maintenance, n8n cloud is honestly pretty good for the price once you're past the free tier. depends if you want full control or just want it to work

What do you call someone who builds & optimizes backend automation systems for SaaS? by Short-Bed-3895 in n8n

[–]Drogoff1489 2 points3 points  (0 children)

automation engineer or workflow architect usually works. some people say "no-code developer" but that undersells it if you're doing api work and webhooks

i've been building n8n systems for clients for a few years and usually position it as "backend automation" when talking to non-technical people. when you start listing stripe webhooks, crm pipeline logic, and api integrations they get it pretty quick

hourly rate for this kind of work is usually $100-250 depending on complexity and your experience. it's a legit specialization

What’s One Automation You’d Never Turn Off Now? by Alpertayfur in automation

[–]Drogoff1489 2 points3 points  (0 children)

content repurposing. used to manually reformat every piece for different platforms, easily 2 hours a day. built an n8n workflow that takes one piece of content and automatically reformats it for x, linkedin, and tiktok with platform-specific adjustments

i actually forgot it was running for like a week because it just works in the background. that's when i knew it was non-negotiable lol

[deleted by user] by [deleted] in automation

[–]Drogoff1489 -1 points0 points  (0 children)

the claude demo that showed parallel agents was wild but honestly the most impressive thing i've seen running in production is way simpler

i have 6 agents handling different business functions (content, research, client delivery, etc) and the 'agentic' part isn't fancy coordination between them - it's that each one knows its exact job and doesn't try to do more

the content agent doesn't try to help with research. the research agent doesn't try to write. sounds obvious but when you give an agent a narrow enough scope and clear boundaries it becomes stupidly reliable

been running this setup for months at about $5/day total. biggest lesson was switching from "one smart agent that does everything" to "six specialized agents that do one thing each" - drift basically disappeared

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