Hannah, Elena, and Alex are AI coworkers for marketing any business can afford. Hannah researches markets and competitors. Polished documents in 20 minutes. Alex turns data into interactive dashboards. Elena manages projects end to end - coordinates Hannah and Alex so you don't have to. Built on 50 years of Serviceplan expertise. The team is growing. Specialized AI coworkers for additional marketing disciplines are in development. Free to start.
Hey Hunters 👋
We're thrilled to launch Hannah, Elena, and Alex - AI coworkers for marketing built on 50 years of Serviceplan expertise.
The Problem
AI tools give you chat. What you actually need is someone who does the work and sends you something finished - a deck you can walk into a meeting with, a dashboard you can share, a project that actually gets delivered.
Meet Your New Team
✅ Hannah - marketing research partner. Email her a question, get a sourced PowerPoint in ~20 minutes
✅ Alex - coding partner. Send him data, he builds interactive dashboards
✅ Elena - project manager. Coordinates the whole team so you don't have to
No new tools. No prompts to engineer. Just email them like a colleague.
Who It's For
Marketers, founders, and small teams doing the work of a whole department without the budget for one.
We'd Love Your Feedback
What's the first task you'd hand off to an AI coworker?
What's stopped you from trusting AI with real work?
Thanks for your support! 🎉
I have used Hannah for all types of research and I must say her input is so well rounded and smartly structured I feel mildly addicted now. I test her often again Claude Opus and Claude and CoPilot who all have much more context of my work and not only did she still deliver higher quality insights but I noticed she is best of them all at attributing authoritative sources, she pretty much never 'over-interpreted' or hallucinated anything at all. On top what is probably the most beautiful part is she orchestrates work with multiple subagents and I don't need to tell her what to do (maybe a part from ballparking my budget or scope), I just woke up to find another great analysis in my inbox today..what is more Hannah told Alex I am considering infographic for that specific research topic and she already told him to contact me with a draft (which he did) :).
Congratulations on the launch! It would be great to create Businesses and Projects inside your platform, with memory and full context. Also, to have a separate AI agent for each marketing channel, with different integrations.
The "coworker" framing sets high expectations for reliability — curious how Hannah handles situations where it has access to multiple marketing platforms simultaneously. Are agents acting in isolated contexts per customer or is there a shared execution layer? That design decision tends to matter a lot as you scale accounts.
Interesting concept. Framing AI as coworkers that deliver finished outputs instead of just chat responses makes a lot of sense. The idea of receiving a ready-to-use deck or dashboard by email is pretty compelling. How do Hannah, Alex, and Elena coordinate tasks between each other when a request involves research, data, and project management together?
The separate agent per role thing is a smart setup. Do they actually think differently (have substantially different context or use different models) or is it more about scoping what each one focuses on? How specialized does each one get under the hood?
Interesting approach! How the workflow works under the hood? Are Hannah / Alex / Elena operating more like a backend AI service where users send inputs (email, data, brief) and receive deliverables, or do they integrate directly into the user’s tools and environment? Also curious how you’re thinking about data privacy when users share internal company data. 🫠
The "just email them like a colleague" interface is genuinely underrated as a UX decision. Most AI tools require you to learn a new app — this one meets you where you already work. I run a small consulting practice and the bottleneck is always turning research into a presentable deliverable. If Hannah can reliably produce a deck I can walk into a client meeting with (not just a draft to reformat), that's a real time saver. How does she handle proprietary data I'd want to include — can I attach files or CSVs for her to incorporate into the analysis?
Most AI tools give you text that you still have to reformat into something usable. Getting a PowerPoint or dashboard directly is a different level. Curious about the output quality though — is the deck ready to present or is it more of a starting point that still needs manual editing?
The ‘AI coworker’ framing is interesting. Most tools still position themselves as assistants or copilots, but treating them like team members who deliver finished work feels like a different direction. Isn't that so?
I also liked the focus on sending back usable outputs like decks and dashboards instead of raw AI responses.
Curious what kind of tasks teams are handing off to Hannah first.
Love the "just email them like a colleague" framing — it removes the intimidation factor that stops many non-technical marketers from adopting AI tools. The combination of Hannah (research), Alex (data viz), and Elena (coordination) covering three distinct workflows is smart. Curious whether Elena can manage async tasks that span multiple days, or is it more of a same-session orchestration? Congrats on the launch!
Would the results be different from what I can get from other AI models if I provide them with a proper prompt and instruct them from the beginning?
Can I ask Hannah or a future agent to reach out (email) to a category of businesses for me and to send me a summary of what their replies/interactions were? I have a list of about 150 companies in the biometric data space and I'm curious which of would want to partner up in a multimodal data collection effort.
I have specifics in terms of how I would want to collaborate but I want to avoid doing the back and forth of identifying email addresses, emailing based off of the technology and stage of the specific company, replying on time in a thoughtful manner and with my writing style, and using some persuasion techniques in order to drive up the chances of my KPIs being met.
Jami Safari