n8n vs Antigravity Hot take correction ... I may have been wrong about n8n. I’ve been pretty vocal about my skepticism of low-code orchestration tools like n8n. My main concern was always control: API flexibility, real logic, and whether you could build serious agentic workflows without fighting the platform. So… I decided to test that belief. I took one of my real projects and rebuilt it using Google’s Antigravity instead of n8n ... same objective, same constraints. Result? I was wrong about what this class of tooling can actually do now. Using Antigravity, I was able to: Hit the USAJobs API cleanly Run structured job searches (Tampa Bay, Data Analyst / Power BI / SQL roles) Score matches against my resume Automatically generate and send custom job-match emails Produce a refined, role-specific cover letter without manual glue code Here’s an example of the email the agent generated and sent on a 76% match: Subject: 🚀 USAJobs High Match: Program Analyst (76%) Agency: Department of Homeland Security Location: Tampa Bay Followed by a tailored cover letter that actually reflects my background in Power BI, SQL, automation, and data-driven decision making. No brittle hacks. No “workflow spaghetti.” Just a clean agent loop: observe → score → act. I still think n8n has limitations but I’ll own this: agent-first platforms have crossed a threshold, and dismissing them outright is no longer a serious position. Lesson learned: Don’t argue tools in theory. Port a real project and let reality decide. If you’re experimenting with agentic workflows, job search automation, or resume-aware scoring systems, I’m happy to compare notes. http://aiforhire.net

Screens are teaching kids to treat reality like an app. There is a warning, when touchscreens become normal, Books, bodies and everyday life feel confusing instead of comforting.

Hoping to work with a technically capable contractor to help integrate an AI voice receptionist with UK dental practice software and phone systems. The role involves configuring AI voice agents, connecting telephony (Twilio or equivalent), handling call routing, data capture, and webhooks, and integrating with dental practice management systems such as Dentally, Software of Excellence (Exact), Carestream R4, and related tools. You will be responsible for setting up and maintaining integrations using APIs, webhooks, and no-code/low-code tools (e.g. Zapier or Make), troubleshooting failed calls or data sync issues, and ensuring reliable, secure handling of patient enquiries. This is hands-on implementation work - not strategy or admin - and requires someone comfortable working independently on real production systems.

Hey everyone, Anyone in the Launchpad community? I was wondering: if I join the Launchpad community with a monthly plan and then upgrade to an annual plan within the first month, will the first month’s payment be credited toward the annual plan’s price? Thanks.

I’m providing an AI receptionist (Twilio number connected to Retell) for a client who uses RingCentral as their main phone system. Client requirements: - Customers must call the business’s RingCentral number (not my Twilio number) - AI should only handle missed calls - “Missed calls” include: No one answers after a set number of rings ; The line is busy - In those cases, the call should be forwarded to the AI (Twilio number) - After a missed call, the AI should: Call back or text the lead Problem I’m running into: RingCentral seems to want to forward all calls, but I only want calls to hit Twilio if: - No one answers after X rings, or - The line is busy What I’m trying to figure out: - Best way to detect a “missed call” or busy line in RingCentral and trigger Twilio - Whether this should be handled via: - RingCentral call handling rules (ring count / busy forwarding) - RingCentral → webhook → Twilio - Or a middleware tool (Make / Zapier / n8n) - Any proven setups others are using where AI acts as a fallback, not a replacement If anyone has implemented RingCentral → AI only on missed calls / busy, I’d really appreciate the guidance.