---
title: "Praxy vs SkaleAgents"
description: "Praxy vs SkaleAgents on MakeItLast. A career coach, one WhatsApp message away Control plane for AI DevOps agents. Shared tags: Web App, Freemium, AI powered."
---

# Praxy vs SkaleAgents

Praxy (HR & Recruiting) and SkaleAgents (Developer Tools) are live listings. MakeItLast does not pick a winner.

A career coach, one WhatsApp message away. Control plane for AI DevOps agents. Shared tags: Web App, Freemium, AI powered.

Why this pair: shared tags: web app, freemium, AI powered

## [Praxy](https://www.makeitla.st/tools/praxy)

A career coach, one WhatsApp message away

Praxy is an AI career coach that you talk to on WhatsApp: you start by sending "hi". Send a résumé or a job link, then message or take a voice call to practise interviews, compare roles, negotiate an offer, or work out your next move. Praxy remembers your context between conversations, so you never start over. There is no new app to install.

Alongside coaching, Praxy Jobs searches more than 3 million listings from 53 sources with direct apply links, and helps you judge which roles are actually worth your time.

It is free to start: 200 coaching messages a month, resume feedback, and 5 job matches a day. Pro adds text and voice mock interviews and higher limits for USD 19 or INR 999 a month. Built by Praxel in Bengaluru.

## [SkaleAgents](https://www.makeitla.st/tools/skaleagents)

Control plane for AI DevOps agents.

SkaleAgents is the control plane for AI DevOps agents. Teams sign in with Google, publish specialist agents, and connect MCP from their IDE so agent work lives in one place instead of scattered chats and one-off scripts.

The product focuses on AI DevOps workflows: run audits, review remediation with your team, and keep schedules, studio work, prompts, and MCP connections organized under a single control plane. Specialist agents can be published and reused so repeatable DevOps tasks are not reinvented every sprint.

SkaleAgents is built for people who already use AI coding tools and want an operations layer around them. Sign in with Google, publish specialist agents, connect MCP from your IDE. One control plane for AI DevOps work.

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