Hannah & Co - AI coworkers for marketing.
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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.
Replies
Sokosumi
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.
Kodosumi
@rainbows Yes, you can absolutely do this!
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?
Kodosumi
@viktorgems Good question. Yes, the results will be quite different since Hannah 1) has a pretty complex architecture that allows her to split up tasks, use multiple subagents, etc 2) She's infused with a lot of domain knowledge by one of the largest Marketing Agencies in the world (Serviceplan) and 3) Hannah can do much more than just write. She can coordinate with other agents, she can create files, she can hire other agents, she has access to Premium data
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?
Kodosumi
@klara_minarikova Often it is already ready to present but it's always good to double check.
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!
Congrats on the launch, @jami_safari!
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.
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?
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 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 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?