Logic, Inc.
Write a spec. Ship an agent.
349 followers
Write a spec. Ship an agent.
349 followers
Shipping a real AI agent can mean weeks of wiring up frameworks, prompts, retries, and eval harnesses before you see production. Logic replaces that stack. You write a structured spec that describes what the agent should do, and Logic gives you a fully managed agent, with evals, observability, and versioning built in. Used in production by teams at Routable, Paid.ai, Neuranimus, Garmentory, and DroneSense.
Logic, Inc.
👋 Hey Product Hunt! I'm Steve, founder of Logic.
Before starting Logic, I was at Brex for a number of years and Convoy before that. I spent so much time watching Ops teams struggle with the same problem:
The teams had well-documented decision processes (fraud review, shipment routing, customer success, etc.), but automating those workflows always required undue effort spanning many teams and fighting for engineering capacity.
Even tiny changes meant tickets, prioritization, and scheduling. Ops had minimal control over their own processes.
So we built Logic to fix that.
Logic gives teams inversion of control – a way to fully own their automations for high-impact, repeatable decisions.
🧠 HOW IT WORKS
Keep your existing process. Just write (or upload) a doc describing how your team makes a decision. It can be an SOP, checklist, walkthrough, or whatever you’ve got.
Save it.
Logic instantly turns that document into a production-ready API and web app in under 60 seconds.
You get auto-generated:
✅ Tests
🔁 Version control
🧩 Integration docs
💻 A working web UI
When your process changes, simply edit the doc. Logic will update everything else automatically.
And because Logic is API-first, you can embed it anywhere: n8n, Zapier, Clay, Retool, or your own product.
⚡ REAL RESULTS FROM BETA
Over the past few months, our design partners have automated 2M+ decisions using Logic.
Garmentory went from multi-day product moderation backlogs to real-time review, cutting errors by 12x and unlocking their best quarter ever.
DroneSense reduced complex PO approvals from 30 minutes → 2 minutes
🤖 WHAT YOU CAN AUTOMATE
Moderation, data extraction, document parsing, lead scoring, fraud detection, content optimization – any common decision, research, or data extraction task your team does repeatedly.
We’re SOC 2 certified, production-ready, and have a free tier to get started.
We’re incredibly proud of what we’ve built and can’t wait to see what you automate.
Looking forward to your feedback on our launch!
Agnes AI
Turning a decision doc straight into an API and web app in under a minute is honestly crazy—editing a doc to update workflows feels like a dream for ops. Just curious how flexible the integrations are?
Logic, Inc.
@cruise_chen thanks! It really often feels like magic! It's the exact tooling I wanted back when I was working with 600+ person ops teams.
In terms of integrations, right now we focus exclusively on making a great and reliable "brain" that gets exposed via the REST API. Our customers then call that API wherever they need it. Sometimes that's in their own backend services, and sometimes it's from n8n or other workflow systems.
For now, we're just focusing on getting the intelligence part clean and reliable. We rely on other systems to shuffle data to / from Logic. One nice consequence of this is that you can give ownership of just the business logic to whatever members of your team need it, and they can update it without needing to be familiar with the rest of the system.
Logic, Inc.
Adding on: it's useful to think of Logic as not (just) another workflow builder. (i.e. "if X occurs in tool A, then do Y in tool B.")
Instead, we see customers use Logic as a sort of 'decision engine' that can sit inside existing workflows. It's the part that answers "should we approve this?" or "what category does this belong in?" or "is this fraudulent?" And it does that against criteria that can be complex, and rapidly-changing.
Logic, Inc.
@cruise_chen , thanks! They're pretty flexible - we route to different models based on the complexity or features needed and we're adding new options all the time.
This could save teams countless hours. Does it integrate with existing workflow tools like Zapier or Slack?
Logic, Inc.
@roozbehfirouz thanks for the kind words! And yes - Logic automatically generates a REST API for every automation you create, so you can call it from any tool that can make API calls including Zapier (and likely Slack through their Workflow Builder).
Was there a workflow in particular you were hoping this might help with for you? Always interested to hear what folks are building.
Logic, Inc.
Thanks, @roozbehfirouz ! We're working on both slack and zapier integration - stay tuned!
Hey can this support SOAP APi's, the API's we have our kinda old so I was wondering if it only works for REST?
Logic, Inc.
Hey @hamoodie_kroni2! Yep at this time we only support REST.
Logic, Inc.
@hamoodie_kroni2 following up on Azzam's reply, I'd love to understand the use case a little more. If your system can send HTTP requests and parse JSON, I think we can probably work for your use case. Feel free to drop me a line steve@logic.inc
Empirical Health
Nice launch! What's been the hardest part of getting LLMs to perform well in going all the way from an SOP doc to a working API?
Logic, Inc.
Thanks @bballinger ! Oh tons and tons of little things – behind the scenes whenever you save a document we kick-off ~25 jobs and agents to derive artifacts that help in creating / updating the API and making sure document executions are reliable and consistent.
The trickiest part is probably, unsurprisingly, making sure we give the LLMs plenty of escape hatches to opt-out of doing a task that it can't do or doesn't have the information to do or semantically just doesn't make sense based on the inputs given to it. We have a bunch of guardrails in place to avoid hallucinations. The end result is that if we return a successful response, you can have pretty high confidence that we did the thing you expected us to do.
We also invested a bunch in our LLM routing layer. Taking a given request and routing to the best of N models to perform that task. The nice thing is that our end users don't have to learn things like the nuances between the capabilities of Gemini 2.5 Pro vs GPT-5 (e.g. for images OpenAI supports {png, jpg, webp, gif} whereas Gemini supports {png, jpg, webp, heic, heif}). We just transparently take care of the model selection for them.
Love the approach. Yes, we can vibe code developer tools, too.
Keep up the great work, ?makers 👏👏
Logic, Inc.
@fmerian thank you! Really appreciate the kind words. One of the things that surprised us most with building Logic was that we initially built it for Ops, but Engineers have really really loved it too. They just come in with an idea that requires some automated intelligence, and a few seconds later get back a REST API to start calling. No need to muck around with which LLM to call or which agent framework to use. It's just idea -> start integrating.
Logic, Inc.
Appreciate the kind words, @fmerian !
Product Hunt Wrapped 2025
Hey Steve! Logic sounds like a game-changer for Ops teams, giving them the power to streamline processes without the usual bottlenecks. The real-world results you shared are impressive kudos on enabling such efficiency! Excited to see how teams harness Logic’s potential. 🚀
Logic, Inc.
@alexcloudstar thank you, Alex. We believe we're in a new era where teams that have traditionally been less empowered by their tooling can now have full agency over how they get their work done. It's a great time to be in the field!
Logic, Inc.
@alexcloudstar , thank you - we're excited to launch today and see what people build!