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Pavel Konoplenko

I've spent fifteen years turning startup chaos into systems clarity, most of it in marketing. In the last three years, I've been hands-on building on what's newly possible with AI.

Across every area of the marketing lifecycle, I've left an impact — as an agency founder, media operator, in-house head of marketing, and consultant.

Succeeding with AI is organizational leverage that requires both a technological and philosophical shift.

Building

Needlepick Active needlepick.com
Workie Talkie Shipped
Needlepick
Tracks how ChatGPT, Claude, Gemini, and Perplexity recommend brands, then connects that to your site, your competitors, and the market signals around them.
AI · Marketing intelligence · SaaS
Workie Talkie
Persistent audio rooms for hands-free AI collaboration, wired through fast speech-to-text, an LLM, and text-to-speech.
Voice AI · Real-time

Work

NetBox Labs
AI marketing and demand generation for an infrastructure intelligence company. Examples of builds: a go-to-market data warehouse, the measurement and attribution layer behind it, and a fail-closed review system that puts automated gates and a human approval in front of anything that sends.
Demand generation · GTM systems · Applied AI
spoiled
Built a New York food and culture guide into an owned community of more than a million people across email and social, and 40 million page views. Then built an agency on that audience: campaigns for over 100 brands (W Hotels, Casper, Budweiser, FreshDirect, Brooklyn Museum) worth more than 100 million impressions. 150-plus giveaway campaigns brought in over 2 million email entries, and the tool built to run them shipped as its own product, used by more than 400 media and marketing teams.
Media · Agency · Audience · SaaS

Writing

Following Obsessions
A short note on concurrent obsessions, and knowing when enough is enough.
Two Questions for Writing
Where is the weird, and are you being precious? Two questions that find the authentic version of a piece.
Natural Conversations
The obsession with perfect prompting is counterproductive. Real work is iterative and messy. Approach AI the way you approach a colleague.

Speaking

Available for conferences, podcasts, and panels. I talk about what I build and what it taught me.

Why intent, clear communication, and feedback loops decide more than model selection. Managing agents turns out to look a lot like managing people.

Audience leaves with: A working mental model for delegating to AI, and why a business background is an asset rather than a gap.

What it is actually like to build a product solo with these tools — the compound knowledge effect, voice-first workflows, and where the tools still fall over.

Audience leaves with: An honest account of the workflow, including the parts that skip the demo.

Brand discovery is moving from ten blue links to a single generated answer. What ChatGPT, Claude, and Gemini say about you is now the surface that matters.

Audience leaves with: A concrete way to measure AI-driven brand visibility and act on what it tells you.

  • Conference talk, 20–45 minutes, with or without slides
  • Podcast, remote, no prep questions needed
  • Panel (happy to be the heretic)
  • Internal workshop for marketing and product teams adopting AI

Now

Updated September 2026
Building
AI marketing intelligence, GTM AI systems.
Thinking about
How much of AI work is really management work — scoping, delegation, review, knowing when to stop. The models keep improving, but the bottleneck shifts into an abstraction.
Open to
Conference talks, podcasts, and panels, and anyone measuring AI-driven brand discovery.

Get in touch

You can find me on LinkedIn. I am glad to hear from anyone building with these tools, measuring AI-driven brand discovery, or looking for a speaker who will not read the slides out loud.

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