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• May 10
After 6 months of building, launching zizka.ai on Product Hunt today! 🚀
Most AI assistants just suggest. zizka.ai executes.
Tell it: "Create bug task in Asana, email the team update, schedule Friday review"
→ All three done instantly.
Why this matters: The average knowledge worker switches between 10 toolsÂ
25x per day. That's 3 hours lost to context switching.
We're fixing that.
Integrated with Gmail, Calendar, Asana, Jira, Notion & ClickUp.
First 50 supporters get lifetime early bird pricing.
Would mean the world if you checked it out:
https://www.producthunt.com/products/zizka-ai?launch=zizka-ai
What productivity tool should we integrate next?
https://zizka.ai
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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This one is for teams that hand everyday work to AI agents. In one view you can see what got automated, how much time it saved, how each agent is doing, and you can ask the AI assistant anything.
In the video, I ask "Who might churn this week?" and Lyra replies with three at risk accounts and check in emails ready to send.
My goal was calm and minimal, with lots of white space, while the screen still feels alive.
What would you add or remove? I'd love your feedback.
A strong specialist skill is useless if the wrong system gets invoked. Long-running AI work breaks in boring, expensive ways.
That is not a prompting problem. It is a routing and authority problem.
How I can help you:
I build project routers for teams using multiple AI workflows, agents, or specialist assistants so that they work with each other as a team.
I design source-of-truth resolutions so your agents retrieve the current rules instead of improvising or relying on assumptions or stale chat data.
I create reusable skill registries and specialist handoff logic hardened by determined and dedicated flow states reducing the need for model reliance on its own internal and displaced memory context.
I separate project states with individualized canonical states bound by rules living under essential model instructions and routed properly so unrelated workflows do not contaminate one another, but exist with awareness of the role each project plays, enabling a persistently growing ecosystem to develop organically.
I add governance wrappers, escalation hooks, and recovery mirrors around existing AI stacks so that trust is designed at the root, and variance is eliminated with rule based source archiving and implementation.
Trust means closing your eyes at night and sleeping soundly because your agents got your back. And I can put it all together for you, precision results sourced and undisputed because I got tired of doing things the hard way.
Phillip, agree that routing is where it breaks. In our builds the worst bugs came from an agent pulling an old rule from chat history instead of the current source. Pinning one source of truth per project fixed more than any prompt change did.
I don't think every business needs an AI agent.
That's probably not the popular opinion these days, but it's the one I've come to after building automation workflows.
A lot of the conversations I have start with the same request:
"We want an AI agent."
So I ask a different question.
"What's slowing your team down today?"
The answers are rarely about AI.
It's usually someone copying information between tools.
Someone sending the same emails every week.
Someone updating spreadsheets by hand.
Or someone chasing people for updates.
Those are workflow problems.
Sometimes a simple automation fixes them.
Sometimes AI is the right next step.
The trick isn't choosing the newest technology.
It's choosing the one that actually solves the problem.
That's why I spend more time understanding the process than deciding which AI model to use.
The technology is important.
The workflow is what people actually live with every day.
What's your view on this?
Do you start with AI, or do you start by fixing the process?
