
Harshbhatia.base.eth π²
912 posts

Harshbhatia.base.eth π²
@bhatiaharsh661
Harshbhatia.base.eth base.eth





how to become an ai automation and workflow expert and earn 4–5 figures in 6 months by the end, you’ll be able to: — design end-to-end automated workflows for real businesses — link ai to the tools companies already rely on (crm, email, docs) — replace repetitive tasks with ai-driven systems — charge clients $500 to $5k per month with real results month 1: build a solid base focus on: — learn python basics (just functional, not advanced) — understand apis (http, json, webhooks) — pick one no-code tool (make, n8n, zapier) and master it — read api docs to connect tools — get basic at prompt engineering (inputs, outputs) project: automate a small personal task using make or n8n. month 2: connect ai to your workflows focus on: — openai/anthropic api basics (completions, structured prompts) — embed ai inside workflows (beyond just chatting) — tool calling (ai triggers actions) — build step-by-step chains (trigger → ai decision → action) — track costs (token usage, when ai is overkill) project: build a workflow that automatically sorts and routes incoming emails. month 3: create real business pipelines focus on: — lead generation automation (scraping, enrichment, outreach) — ai-powered personalized outreach at scale — crm automation (auto-updating tasks, logging calls) — content pipelines (idea → draft → publish) — meeting automation (transcribe → summarize → log) project: build a complete lead generation and crm workflow—either for a real or mock business. month 4: introduce ai agents focus on: — what ai agents really do (no hype) — when to use agents vs simple automations — how to route tasks, manage steps, and keep state — human-in-the-loop checkpoints (manual review when needed) — build agent reliability (logging, retries, fallbacks) project: create a support agent that handles basic customer queries, escalates tough cases, and logs all interactions. month 5: get it production-ready focus on: — how to deploy (self-hosted n8n, make teams, or python backend) — set up logging and monitoring (know when it breaks) — version your prompts (no random changes mid-project) — basics of security (protect api keys, access control) — handle rate limits and downtimes gracefully — document everything so you can hand off to non-technical clients project: take one of your month 3 or 4 workflows and make it fully ready for a client, with proper docs and monitoring. month 6: choose your income path and go all in pick one direction: freelance builder (fastest money) → focus on 2–3 repeatable workflows (like lead gen or support bots) → outreach to smb owners, agencies → start with small projects, then scale to retainers in-house engineer (steady role) → focus on internal ops use cases → connect ai to company tools (slack, hubspot, etc.) → prove time and cost savings build an ai automation agency (scale it) → pick a niche (e.g. real estate, e-commerce) → create repeatable services and templates → hire or partner to scale the key is practice—every single month. once you follow this, you won’t just be learning ai—you’ll be using it to earn. keep an eye out. cc: @DeRonin_





got selected as an ambassador for bitrobot. they raised $8m in a seed round to build the world’s open robotics lab, and i previously mentioned them as one of the key players in the ai + robotics narrative. as a bitrobot ambassador: — i’ll be collaborating directly with the team — i’ll have early access to the subnet and experiments — exclusive merch and hardware access cash bounties, token rewards, and referral earnings it’s also important to say that i’ll be doing this not just for my own benefit or bitrobot’s, but for my community as well. so stay tuned, i’ll be sharing more about bitrobot and what they’re building soon.



































