u/MarzipanKlutzy9909

>ORKA — governance layer for AI agents

If you're running AI agents in production, you've probably run into at least one of these:

— An agent did something unexpected and you had no way to trace why
— You needed to prove to leadership or compliance what your agents are actually deciding
— A sensitive action happened that should have required human approval first

ORKA solves this. Full audit trail, policy engine, and human-in-the-loop approvals — works with OpenAI, Claude, LangChain, Firecrawl. Instruments on top of your existing stack, no rebuild.

Used by teams in production today. Free plan available.

orka.ia.br

Hey everyone,

I've been running paid traffic campaigns for a few years and kept running into the same frustrating problem: Meta says ROAS is 4x, Hotmart says revenue is way lower, and I had no idea which number to trust when making budget decisions.

So I built ClickBoard — a platform that connects your ad spend directly to confirmed revenue, so you can see what's actually making money vs. what just looks like it's making money.

What it does:

• Connects your ad platforms (Meta, Google, TikTok, LinkedIn, YouTube) to your sales platforms (Hotmart, Kiwify, Eduzz, and others)
• Shows you real ROAS calculated from actual confirmed sales — not what the ad manager reports
• Identifies campaigns you should scale vs. campaigns silently draining your budget
• Alerts you when your ad platform numbers diverge significantly from real revenue
• Automation rules: auto-pause or adjust budget based on real performance thresholds
• Attribution across the full customer journey (last-click, first-click, linear, time-decay)
• Financial dashboard with actual profit, margins, and ROI per campaign

Why I built it:

Most tools either trust the ad platform's numbers (which are biased — their incentive is for you to spend more) or require a dev team to set up. I wanted something that any media buyer could connect in under 5 minutes and immediately see the real picture.

Where it stands:

It's live and working. I've been using it myself. Now I want real users to test it and tell me what's broken, what's missing, and what I should prioritize.

Looking for testers who:

• Run paid ads (Meta, Google, TikTok) with any budget
• Sell digital products or physical goods online
• Are frustrated with the gap between ad platform metrics and actual revenue

If you want early access, drop a comment or DM me. Free to test, no credit card, honest feedback welcome (especially the brutal kind).

Happy to answer any questions about how it works or what's under the hood.

Been building AI agents in production and realized there was no good way to audit what they're actually doing, set policies on what they can/can't do, or require human approval before sensitive actions.

Built ORKA to solve this. Works with OpenAI, Claude, LangChain, Firecrawl.

Who I specifically need:

- People running AI agents in production (or trying to)

- Anyone who's had an agent do something unexpected with no way to trace why

- Teams in regulated industries where AI actions need to be auditable

- Devs using LangChain, CrewAI, AutoGen who want visibility without building it themselves

Free tier, no credit card.

I'm not looking for "great job!" — I want to hear "this is annoying and here's why."

orka.ia.br

Been building AI agents in production and realized there was no good way to audit what they're actually doing, set policies on what they can/can't do, or require human approval before sensitive actions.

Built ORKA to solve this. Works with OpenAI, Claude, LangChain, Firecrawl.

Who I specifically need:
- People running AI agents in production (or trying to)
- Anyone who's had an agent do something unexpected with no way to trace why
- Teams in regulated industries where AI actions need to be auditable
- Devs using LangChain, CrewAI, AutoGen who want visibility without building it themselves

Free tier, no credit card.

I'm not looking for "great job!" — I want to hear "this is annoying and here's why."

orka.ia.br

I built an AI infrastructure startup and sometimes I feel like no one around me understands what that means.

I started Orka while still working as a backend developer. I spent years studying distributed systems, software architecture, and building APIs that nobody saw. Today I work full-time on the company, but when people ask what I do, I say "I work with AI" and they assume I'm just another person building a chatbot.

Orka is an operational control layer for AI agents. Basically: companies are deploying autonomous agents to execute critical tasks — financial transactions, customer support, infrastructure access — with zero auditing. We solve that. Governance, traceability, real-time interception of high-risk actions.

The product is in open beta, free. We already have companies using it. But when I tell friends and family, I always get the same blank silence from people who didn't understand a word.

Sometimes I wonder if I should have stayed in a more "readable" job. But then I look at what we're building — an infrastructure layer that will be required for any company operating AI at scale — and it gets hard to ignore what's in front of us.

Has anyone else been through this? Building something you know is real, but the world doesn't have the vocabulary for it yet?

Hey, looking for people to actually use ORKA and tell me what's broken or missing.

What it does: sits between your AI agent and the world — full audit trail of every action, policy engine to block unauthorized behavior, human-in-the-loop approvals before sensitive operations, real-time risk alerts. Works with OpenAI, Claude, LangChain, Firecrawl.

Who I specifically need:
- People running AI agents in production (or trying to)
- Anyone who's had an agent do something unexpected and had no way to trace why
- Devs using LangChain, CrewAI, AutoGen who want visibility without building it themselves
- Teams in regulated industries where AI actions need to be auditable

Free tier is the main focus right now.

I'm not looking for "great job!" — I want to hear "this is annoying and here's why." That's more useful.

orka.ia.br

>

Been building AI agents in production and kept running into the same problem: no visibility into what they're actually doing, no way to set policies, no human approval before sensitive actions.

Built ORKA to solve this — audit trail, policy engine, risk alerts, and human-in-the-loop approvals for any AI agent stack.

Looking for beta testers and feedback. Free access, no credit card.

Would love to hear if anyone else has run into this problem.

Disclosure: I'm the developer of this project.

AI agents are taking actions without any oversight – calling APIs, writing data, triggering workflows. Most teams have zero visibility into what's actually happening.

I built ORKA to fix that.

ORKA sits between your agents and the outside world:

→ Every action goes through a policy check before executing

→ High-risk actions pause and wait for human approval

→ Everything is logged in a cryptographically chained audit trail

→ Real-time dashboard with risk scores per agent

It supports MCP, A2A, REST, and custom agent protocols.

Currently in private beta – free to use, no credit card required.

Search "ORKA governance AI agents" on GitHub or "orka.ia.br" to find it.

Would love feedback from anyone building with AI agents. What governance/visibility features are you missing today?