Barie.ai

Making Creativity & Execution Barie Easy

8 followers

Making Creativity & Execution Barie Easy

8 followers

Visit website

AI Chatbots

•

AI Workflow Automation

Barie 2.0 is here. Workflows that execute across 70+ apps. A browser agent that navigates real websites and acts on your behalf. Slides, images, videos, and audio, generated from a single prompt. A coding agent that writes, runs, and debugs live. Skills that remember your exact process. Tasks that run on a schedule while you focus elsewhere. Complete transparency through Barie Computer, so you see every move the agent makes in real time. And research that always cites its sources.

Free Options

Launch tags:Artificial Intelligence•Growth Hacks •Statistical Analysis

Launch Team

Tines — Build agents & automations integrated across your workspace

Build agents & automations integrated across your workspace

Promoted

Maker

📌

We built this after hitting the same wall again and again with AI tools that sounded confident but quietly made things up. Research looked polished, but you still had to double-check everything, and execution stopped at suggestions. So we flipped the approach. Barie was designed to not hallucinate, to show its work, and to actually finish tasks. If something can’t be verified, it says so. If there’s a gap, it surfaces it instead of guessing. That is also why we built Connectors. Instead of copying data between tabs, you can connect the tools you already use (CRM, task apps, databases, etc.) and let Barie pull context, run actions, and return outcomes in one flow. Happy to answer questions, share what didn’t work early on, or hear how others here are handling AI trust and workflow chaos.

Report

4mo ago

@marketing_ai1, respectfully, your web app cancellation option does not work, and your support response time is awful (no response).

Report

2mo ago

Forum Threads

p/barie-ai

•

4mo ago

What we’re learning while building Barie and where agentic AI still breaks

Hi everyone
Sharing a follow-up thought from the Barie team, building on what we discussed earlier around reliability-first AI.

As we ve gone deeper into agent design, one thing has become very clear: most failures don t come from bad models. They come from fragile systems around the model.

Context leaks.
Assumptions pile up.
Tools execute before understanding is complete.

In many agent setups today, the model is asked to reason, decide, and act in one tight loop. That s fast, but it s also where things quietly go wrong. Small misunderstandings compound into confident but incorrect actions.

View all