I killed 4 hours/day of manual outreach with one Claude SDR workflow.

Here’s the 6-step setup I run.

Most teams still treat Claude like a smart chat box.

I treat it like an SDR.
With a job description.
With workflows.
With clear targets.

Step 1: Give it a role

Not: “Write me a LinkedIn message.”

I tell Claude:
“You are my AI SDR. Your job is to find warm signals, score leads from 0 to 100, and write personal DMs that show clear buying intent.”

One clear role.
Zero guesswork.

Step 2: Build workflows, not one-offs

I do not re-explain things every day.

I built 3 base workflows:
→ Signal capture: find warm leads from posts, comments, job changes
→ Lead scoring: give each lead a 0–100 score
→ Message writing: write DMs based on the exact signal

Same steps.
Same logic.
Different accounts.

Step 3: Give it memory

Claude needs context.

I store a simple file with:
→ ICP and segments
→ Value prop and offers
→ Tone and style
→ Past winning messages
→ Current campaigns

Claude reads this file before it works.

Step 4: Let it handle low-value work

I did a one-week audit of my time.

Tasks that did not need me:
→ Finding profiles
→ Researching signals
→ Drafting first messages
→ Scoring leads

All of that went to Claude.
I only handle review and replies.

Step 5: Refine weekly

Every Friday, I review:
→ What messages missed the mark
→ What signal logic felt off
→ What small prompt tweak would fix it

The model stays the same.
The system gets sharper.

Step 6: Scale what works

One solid workflow saved 2 hours/week.

So I added:
→ Reply handling
→ Meeting qualification
→ Simple follow-up rules

Now the stack runs most of top-of-funnel for me.

Before: 4 hours/day of manual LinkedIn prospecting.
After: 30 minutes/week reviewing Claude’s work.

Want the exact setup?

Comment SETUP and I will send you:
→ The full 6-step Claude SDR system
→ 5 copy-paste prompts for signals, scoring, and DMs
→ Context file template
→ Weekly refinement checklist

P.S. If you ship this inside your GTM, your outbound operation will not look the same in 30 days.

Over the past 12 months, I've seen AI change three things fundamentally in sales development:

1. Research is no longer a task — it's instant context. What used to take 20 minutes of pre-call prep now happens in seconds. The reps who win are the ones using that time to go deeper, not faster.

2. Personalisation at scale is real now. Not "Hi {first_name}" personalisation actual relevance, tied to a prospect's priorities, their market, their moment. The bar for what counts as a good outreach has risen permanently.

3. The bottleneck has moved from activity to judgement. Volume was never the edge knowing who to prioritise, what to say, and when to push has always been where the best SDRs separated themselves. AI just makes that more visible.

What I keep telling my teams: the reps who embrace this shift will outperform what was possible two years ago. The ones who don't will be replaced not by AI, but by the reps who do.

Curious what you're seeing on the ground. Has AI actually changed how your pipeline gets built, or is it still mostly hype where you are?

I used to waste hours writing cold messages, rewriting follow-ups, or thinking of ways to re-engage dead leads.

Now?
I use AI — but not in the generic "ask ChatGPT for help" kind of way.
I built a Lead Gen Prompt Library with 15+ proven prompts that are actually designed for sales professionals.

What it does:
✅ Generates high-converting cold emails
✅ Writes personalized follow-ups in seconds
✅ Handles objections with pre-trained responses
✅ Scores leads based on input data
✅ Helps with reactivating past contacts

Basically, it took all the repetitive stuff off my plate — and gave me better results.

🔗 I made the prompt library free to download here → <https://bizhack.rs/free-prompt-library-for-lead-generation-professionals/> fill it out and get instant access, no hidden stuff....

Perfect if you:

Work in sales, consulting, or lead gen

Want to get better at AI without spending hours learning prompt engineering

Are tired of generic results and want real, useful outputs

Hope it helps someone! Happy to answer any questions or share how I use it inside my workflow.

The SDR role as we knew it is dead. 💀

Not dying. Dead.

5 years ago, I was spending hours manually researching accounts, writing outreach from scratch, and building prospect lists one by one.

Now? I use AI to do in 20 minutes what used to take me an entire afternoon. And honestly? It’s made me a better seller, not a lazier one.

I’m talking 👇

🔍 Account research that used to take me an hour? Done in minutes.
📊 Intent scoring and prioritisation? AI helps me focus on who actually wants to hear from me.
🗺️ Stakeholder mapping? I walk into every call knowing exactly who’s who.
✍️ Personalised outreach at scale? Written with AI, refined by me, and it actually sounds like me.

And before someone jumps in with “but it’s not authentic” — let me stop you there. 🛑

It’s the opposite.

Because I’m spending less time on the manual busywork, I’m spending MORE time actually understanding my prospects. More time in real conversations. More time being human.

The SDRs who are thriving right now aren’t the ones ignoring AI.
They’re the ones using it to become the most prepared person in every room. 💡

The bar has shifted. Permanently.

If you’re still doing everything manually and calling it “hustle” — I say this with love — you’re falling behind. 🫶

Now I want to hear from YOU 👇

What’s your best AI hack that’s made you more productive in your role?

Don’t gatekeep. Drop it in the comments. Let’s build the ultimate list together. 🚀

I use AI for my sales campaigns, but not to fake a connection.

Most "personalized" outreach on this platform has become a race to the bottom.

We’ve all seen it: An AI scrapes a random fact from your bio or a generic news update about your company, then pastes it into the first sentence. It’s supposed to build rapport, but without a real link to a conversation, it just feels like high-tech cold calling.

The most important metric in a sales pipeline isn't quantity; it's quality. I’m not interested in sending 1,000 generic messages. I'm interested in the 10 real conversations that actually matter.

I use AI for my campaigns, but I refuse to use it to fake a connection.
Instead, I use it to solve the "who" and "when," not the "what":

🔢 Scoring: Identifying the intersection of high FIT and real ENGAGEMENT.
‼️ Prioritization: Helping sales teams understand which leads actually want to talk.
🏞️ Context: Giving humans the data they need to have a real, opinion-based conversation.

The goal should be pre-warming based on shared interests and actual opinions, not a product pitch masked by a "congrats on the new office" template. (unless it is related to your service or product or it can create a real topic)

The best use of AI isn't to replace the conversation. It’s to ensure that when a human finally speaks, they actually have something worth saying. And it works.

I was spending 3 hours a day sorting leads and drafting replies. I built a 3-step system using ChatGPT and Make com that does it for me. It categorizes leads (Hot/Cold) and drafts the response automatically. If anyone wants the blueprint/prompts I used, let me know in the comments and I'll send it over.

For the past 2 years, I’ve been deep into AI tools and automation in day-to-day work. The biggest thing I’ve learned: most people don’t need “AI strategy,” they just need 2–3 boring tasks automated. Examples I’ve automated for myself and clients: finding people who are going to an event and scraping their LinkedIn; auto-drafting follow-up emails after sales calls; making charts from Excel data for bosses; building an agent to critique my work before I send it; sorting inbound leads based on intent. None of this is flashy, but it saves hours every week.