Caddi turns narrated screenshares into production agents that run back-office work across your real tools. Show the task once, and Caddi learns the process, builds the automation, and lets you update it in plain English. Unlike RPA or workflow builders that require scoping, developers, and step-by-step setup, Caddi combines AI reasoning with deterministic execution, with every run logged and every permission scoped.
I'm Jason, one of the makers of Caddi. Caddi is an agent that builds agents.
We build for law firms, RIAs and accounting firms, and the same thing kept coming up: the work isn't hard, it's just endless. A contract comes back signed, someone downloads it, renames it to the firm convention, files it to the matter, logs it in the CRM. Forty times a month. Every month.
Automating that has always meant a project. Scope it, spec it, configure it, get a developer. So it never happens, and people keep doing it by hand.
Caddi takes a different path, and it starts before you build anything: it reads your stack and tells you which work you repeat most, ranked by impact.
You pick one, and then you teach it like a new hire, except this new hire already knows the job. It follows your guidance or guides you with best practices, and probes for edge-cases: not just "download the contract", but "say how you tell an executed copy from a draft".
When it hits something ambiguous it stops and asks, with the options laid out and a confirm button. What if only one party has signed? Your answer doesn't disappear into a transcript. It becomes a rule in the agent.
What comes out reasons with AI where judgment is needed and runs deterministic code where it isn't, so the messy cases get handled without the exact parts going off-script. Then it runs in the cloud, executing thousands of actions at a time.
And you can see all of it. Every run is a log of what it decided, step by step, with the permission it used to do it: read, create, send.
We'd genuinely love your feedback, especially on where you'd trust an agent and where you wouldn't. That line is the whole product for us.
The screen share to agent workflow feels very thoughtfully designed. It removes a lot of the friction that normally comes with setting up automation from scratch.
The interesting change here is not just AI automation, but also turning traditional workflows into something reusable. This could lead to the automation of many documentless business processes in the future. This is a great idea.
The runby run visibility is a really strong touch. Being able to see what the agent decided and which permissions it used Makes the automation feel much more accountable.
I literally saw this and I said out loud: "No Way!". Early I was talking to someone on my team, this is literally my new assignmnet but with Copilot. I want to mention this tool to my team.
I like how Caddi focuses on the repetitive work people actually do instead of asking them to become workflow designers.
Congrats to the team. Good call having it stop and ask on the ambiguous ones instead of guessing.
what happenes if there is no api to use for a process? how can it handle that?
Wow, that's super cool. In most firms two people doing the same task do it differently so whose version becomes the rule? Does it even matter?
Here's a pure <60 sec demo of how Caddi discovers and automates repetitive work:
Congratulations on the launch! Probably the most common use case is working with websites. Can I ask it to go to Amazon, find a specific product, and place an order for me?
How much flexibility do users have when they need to adjust only part of an exisiting workflow?
I can see this being useful for all those boring admin tasks we keep doing every day.
How does it handle small change in the process? That's usually where automations break for me.
I like the screenshare approach. Feel more natural than setting up a workflow step by step.
what happens if a website changes its layout slightly? Does it adjust or break?
About Caddi on Product Hunt
“Agent that builds agents by only showing your work only once”
Caddi launched on Product Hunt on August 28th, 2026 and earned 292 upvotes and 41 comments, earning #2 Product of the Day. Caddi turns narrated screenshares into production agents that run back-office work across your real tools. Show the task once, and Caddi learns the process, builds the automation, and lets you update it in plain English. Unlike RPA or workflow builders that require scoping, developers, and step-by-step setup, Caddi combines AI reasoning with deterministic execution, with every run logged and every permission scoped.
Caddi was featured in Productivity (659.3k followers), Legal (6.2k followers) and Artificial Intelligence (477.1k followers) on Product Hunt. Together, these topics include over 276.6k products, making this a competitive space to launch in.
Who hunted Caddi?
Caddi was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Caddi stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ben Lang
Hey Product Hunt 👋
I'm Jason, one of the makers of Caddi. Caddi is an agent that builds agents.
We build for law firms, RIAs and accounting firms, and the same thing kept coming up: the work isn't hard, it's just endless. A contract comes back signed, someone downloads it, renames it to the firm convention, files it to the matter, logs it in the CRM. Forty times a month. Every month.
Automating that has always meant a project. Scope it, spec it, configure it, get a developer. So it never happens, and people keep doing it by hand.
Caddi takes a different path, and it starts before you build anything: it reads your stack and tells you which work you repeat most, ranked by impact.
You pick one, and then you teach it like a new hire, except this new hire already knows the job. It follows your guidance or guides you with best practices, and probes for edge-cases: not just "download the contract", but "say how you tell an executed copy from a draft".
When it hits something ambiguous it stops and asks, with the options laid out and a confirm button. What if only one party has signed? Your answer doesn't disappear into a transcript. It becomes a rule in the agent.
What comes out reasons with AI where judgment is needed and runs deterministic code where it isn't, so the messy cases get handled without the exact parts going off-script. Then it runs in the cloud, executing thousands of actions at a time.
And you can see all of it. Every run is a log of what it decided, step by step, with the permission it used to do it: read, create, send.
We'd genuinely love your feedback, especially on where you'd trust an agent and where you wouldn't. That line is the whole product for us.