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Dean Foust
9.5K posts

Dean Foust
@deanfoust
Leadership Communications strategist and consultant. President, Inspirent Communications. Views are mine.
Atlanta Katılım Ocak 2009
37.2K Takip Edilen39.1K Takipçiler

outbound will never be the same after Claude Sonnet 4.6.
dropped today. most people will use it wrong.
there's a fine line between AI that makes you faster and AI that makes you sound like everyone else.
we took a different route.
we use Claude to make our human outbound operators 3-5x faster - not to replace them.
that's why i put together a doc of Claude prompts built specifically for outbound pipeline. designed for $10K-$250K+ B2B deals.
inside you'll find prompts to help your team:
→ analyse accounts and map buying committees in minutes
→ run 10-minute research before writing a single email
→ generate 3-5 cold email variants per angle without sounding like a bot
→ draft follow-ups based on specific replies and objections
→ prep talking points before outbound calls
→ tighten copy to avoid spam triggers and protect deliverability
these aren't generic chatgpt prompts.
they're built to make Claude think like a seasoned outbound operator plugged into a human-led engine.
the best part? paste them straight in and go.
comment "PROMPTS" and i'll send it over.

English
Dean Foust retweetledi

Claude Opus 4.6 can contact every decision maker in your market
In just 45 days.
While everyone's obsessed with "AI SDRs" spamming inboxes, we built something different.
Claude as a research copilot. Inside a human-led outbound engine.
We're not automating conversations. We're automating the grunt work that kills productivity.
Here's what it does:
→ Ingests your ICP and past wins
→ Scans raw lead data to surface actual decision-makers (not interns)
→ Pulls 3-5 real signals per account for messaging
→ Outlines multi-contact plays for Tier 1 accounts
Humans still decide who to contact, what to send, and who gets booked.
Claude Opus just handles the spreadsheet hell.
Result: Fewer junk meetings. More calls with people who can actually sign.
I just put together a breakdown covering:
• How we use Claude to clean and filter lead lists
• Our exact prompt structures for decision-maker discovery
• How we combine Claude Opus 4.6 + ChatGPT/Gemini without building a bloated AI stack
• Real workflow examples from our outbound engine
This is the same system we use internally to book qualified pipeline.
No fluff. Just the actual prompts and process.
Want the "Claude Outbound Copilot" breakdown?
1. Connect with me
2. Comment "CLAUDE"
(must be following - RT for priority access)

English

This is the one prompt that stops AI from gaslighting you.
Force AI to tell the truth.
No sugarcoating. No hallucinations. No fake confidence.
Brutally honest answers. Every time.
I packaged my reality filter prompt into a plug-and-play guide
To get it, just:
→ Comment “REALITY”
→ Follow me (so I can DM)
English

Claude Opus 4.6 just KILLED manual outreach. 💀
And I’m not going back.
I used to waste hours writing “personalised” LinkedIn messages.
Now? My AI stack does it better than I ever did 🧠
❌ No copy-paste templates
❌ No “hey {{first_name}}” spam
❌ No burnout by message #26
After testing every major model this year, one thing is clear:
Claude Opus 4.6 = outreach that actually gets replies.
500+ conversations this week 🧠
Human-level reply rates 🧠
12+ hours saved 🧠
I packaged the full system into a doc.
Want it?
Connect with me
Comment “OPUS”
Repost ♻️ for priority access 🚀

English

My clients post got 90,000+ impressions in 48 hours.
My client thinks I cracked some secret LinkedIn code.
I didn't.
I just realized what worked in 2025 is dead in 2026.
Step-by-step breakdowns? Generic recycled info.
Personal stories? Overdone unless you're already a massive authority.
The algorithm changed. And most people are still posting like it's last year.
That's why their reach is dying (or never grew)
I just recorded a full video masterclass breaking down:
→ The exact post I mentioned above
→ Why it outperforms everything else by 3-5x
→ How to adapt it for YOUR niche (with examples)
→ My framework for turning these big posts → booked sales calls
→ The psychology behind why people engage with this format
This post for my client:
- Got 90K+ impressions
- 4 qualified booked calls
- 70 new followers IN their ICP
If you're stuck posting content that gets ignored, this will honestly change everything.
Want the full training?
1. Follow me
2. Comment "WIZARD"
I'll send it over soon!


English

I never run out of content to post anymore.
Built an automation that monitors 50+ news sources, scores articles for relevance, and writes social posts automatically.
It finds trending topics in my niche before they explode everywhere else.
Saves me 15-20 hours monthly and keeps me ahead of every trend.
Comment "NEWS" and I'll DM it to you (must be following)

English

Anthropic just shipped Agent Teams into Claude Code and it completely changes how you run creative research and campaign workflows 🤯
OpenClaw has been blowing up up. 140K+ GitHub stars in a week.
Everyone’s trying to configure multi-agent setups with it right now.
Custom skills, MCP integrations, environment variables, Docker containers.
It works.
But let's be honest: it’s unnecessarily complicated for what 99% of business owners actually need.
Anthropic saw the demand and made it native.
No Mac mini, no VPS, not 6-hour installation setup.
Instead, they built right into Claude Code.
Here's how it works:
Instead of one agent doing everything solo in a straight line, a lead agent breaks your task into pieces, spins up multiple teammates, and they all work on different parts of your project at the same time.
One researches competitors, one audits your landing page, one analyzes ad creative.
They talk to each other, share findings, and coordinate through a shared task list without you managing any of it.
This is different from sub-agents.
Sub-agents can only report back to the parent. They can't message each other or share discoveries mid-task.
Agent teams can. That's the unlock.
Best use cases I'm seeing for e-comm and agencies:
→ Competitor ad research across Meta, TikTok, and YouTube in parallel
→ Landing page QA from 4 angles at once (conversion, performance, copy, technical)
→ Creative brief development where audience research, competitive analysis, and concept ideation happen simultaneously
→ Product catalog audits where 4 agents each handle a segment of your SKUs
→ Campaign launch QA checking pixels, UTMs, forms, and compliance at the same time
The catch:
It's experimental. It burns through tokens fast. Each teammate has its own context window so usage scales with team size.
But for complex marketing workflows where parallel work actually matters, it's a game changer.
I put together a complete breakdown covering:
→ What agent teams are and how they actually work
→ How they're different from sub-agents (and when to use which)
→ How to enable them in your settings in 30 seconds
→ Copy-paste prompts for competitor research, landing page QA, and creative briefs
→ Best practices so you don't burn through tokens
→ The limitations you need to know before you start
This is one of those features that sounds small on paper but completely changes how you run research and QA once you start using it.
Want access completely for free?
> Like this post
> Comment "AGENT"
And I'll send it over (must be following so I can DM)

English

Data entry disappeared from my life.
Built a scraper that hits any website, uses Claude AI to extract exactly what I need, then dumps it straight into Google Sheets.
Pulled 200+ competitor prices last week in 3 minutes.
Used to pay someone $15/hour to do this manually.
Now it runs on autopilot while I work on things that actually make money.
Comment "SCRAPE" and I'll DM it to you (must be following)
English

We replaced a $750K/year marketing team with 12 AI Agents.
No actors.
No products in hand.
No ghost creators.
No missed deadlines.
Just viral TikTok Shop sales — 24/7.
Here’s the crazy part:
This system produces 100+ cinematic, product-ready ads per day from a single prompt.
And it feels exactly like running Facebook Ads in 2008 — except the CPMs are even lower, and the entire loop is organic.
Here’s how the AI Creator Agent System works 👇
Each Agent runs its own TikTok Shop profile and handles an entire growth function:
• Trend + angle research using Kalodata
• Competitor ad cloning (paste their ad → pick an avatar → regenerate)
• Automated creator outreach with Clawdbot moltbot
• Daily content generation using Arc Ads
• Localization, repurposing, and multi-format output
• Compliance cleanup + optimization
• Automatic posting across a Multi-Platform Swarm (hundreds of agents)
No touchpoints.
No delays.
No human bottlenecks.
Just a decentralized force of AI + UGC creators selling while you sleep.
Real results:
• $0.10 CPMs
• Thousands of organic views daily
This is the Creator Agent Method: a plug-and-play system that replaces entire creative teams and launches content at a speed humans simply can’t compete with.
I packaged all 12 Agents + AI V2 workflow so you can deploy the exact system for your brand.
Comment AGENT and I’ll DM you everything for free.
(Deleting soon)
P.S. Repost for early access to the complete 12-Agent stack

English

Clawdbot + Kling = 550 videos per day
Fully-realistic UGC ads — cinematic lighting, human motion, perfect pacing — powered by AI agents.
UGC cost: $5
Production time: minutes
Scale: instant
One AI engine that creates, tests, and scales short-form ads automatically — nonstop.
It’s live. Campaigns are scaling now.
Comment + RT “AGENT” and I’ll DM you the full workflow.
(Must be following)

English

@ToneGully Actually, it took seven years of losing. That’s how they got the high picks like Sarr.
English

The wizards built a better team around Trae in 30 days than the Atlanta Hawks did in 7 years lol.
#TrueToAtlanta
English

4,073,000+ companies and 2.8m founders and execs organized into targetable lead lists.
No scraping. No cleaning. Just plug and play.
I took 2 massive company database and segmented it into 13 industry-specific lists.
Here's what's inside:
→ 817K Software & Technology companies
→ 746K Diversified/Other industries
→ 551K Manufacturing & Industrial
→ 352K Healthcare & Life Sciences
→ 294K Media & Entertainment
→ 292K Real Estate companies
→ 270K Financial Services
→ 189K Professional Services
→ 189K Retail & E-commerce
→ 128K Education companies
→ 101K Food & Beverage
→ 75K Transportation & Logistics
→ 64K Energy & Utilities
BONUS data included:
→ 2.8M Executives & Founders (C-suite, directors)
→ 765K Funding Rounds (seed to IPO)
→ 582K Investors (VCs, PEs, angels)
→ 6,500 Strategy Consulting firms (McKinsey-types)
8.5M+ total records across 151 files.
Each list includes: Company name, description, website, location, employee count, LinkedIn, industry, ownership status, funding data.
Perfect for cold outreach, market research, or building your ICP.
Like + Comment "LISTS" and I'll send you the drive link.
Gotta be following to receive DM.

English

I never run out of content to post anymore.
Built an automation that monitors 50+ news sources, scores articles for relevance, and writes social posts automatically.
It finds trending topics in my niche before they explode everywhere else.
Saves me 15-20 hours monthly and keeps me ahead of every trend.
Comment "Deal" and I'll DM it to you (must be following)


English

LinkedIns algorithm changed dramatically in 2026.
Only a small group realized and is taking advantage currently
I decided to compile EVERYTHING needed to grow and sign clients on LinkedIn:
→ Profile optimization that positions you as the authority
→ Content strategy that brings in qualified followers
→ Lead magnet framework that brought me 500+ leads from ONE post
→ Outbound system that booked 5 calls from 122 DMs in a week
→ Hook frameworks and visual strategies that 10x engagement
→ Implementation timeline to execute everything properly
One client increased quality impressions by 1,117% in 90 days.
Another generates 30+ qualified leads monthly with this system.
The founders who understand how LinkedIn actually works are eating while everyone else posts AI slop that gets ignored.
Want the full 2026 LinkedIn Playbook?
Follow me & comment "PLAYBOOK"
I'll DM it to you soon
English

I tried using @Lovable to create slides and it ONE-SHOTTED the entire deck for my SaaS.
Took my raw notes, structured the outline, added animations, and turned it into clean, designer-level slides without me touching a single thing.
If you’re building anything in 2026, learn how to pitch FAST.
A good deck opens doors before the product even exists.
Comment "DECK" and I’ll send you the full prompt.
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