Skip to main content

Updates & News

Follow new updates and improvements to Whaaat AI.

Your Agents Now Read Instagram 🤳

Whaaat AI agents can now scrape Instagram posts, Reels, and profiles directly in the chat, so you can use real Instagram content as source material for any task.

Paste an Instagram URL, and your agent pulls the content right away. From there, use it to repurpose posts, research accounts, analyze competitor content, write captions in a similar style, or anything else your workflow calls for.

This works for:

✓ Instagram posts
✓ Instagram Reels
✓ Instagram profiles

No copy-pasting. No switching tabs. You bring the link, the agent handles the rest.

Why it matters: Instagram is one of the most-used channels our users create content for. Now your agents can read what's already working there and help you build on it.

Available now for all Whaaat AI users.

Improved

LinkedIn Content, Right Where You Work

Whaaat AI agents can now scrape LinkedIn profiles, posts, and company pages directly in the chat, so you can use real LinkedIn content as source material for any task.

Paste a LinkedIn URL, and your agent pulls the content right away. From there, use it to write outreach messages, repurpose posts, research people or companies, build competitor summaries, or anything else your workflow calls for. 🙌

This works for:

  • LinkedIn profiles (/in/...)

  • LinkedIn posts and updates

  • LinkedIn company pages (/company/...)

No copy-pasting. No switching tabs. You bring the link, the agent handles the rest.

Why it matters: LinkedIn links are the most-used URLs our agents receive in conversations. That told us one thing clearly: you're working with LinkedIn content every day. Now your agents can actually work with it, too.

Available now for all Whaaat AI users.

Improved

We Put Our Agents in One Room. Now They Cooperate Much Better.

At the beginning of the year, we embarked on a fresh start, for you, for us, for our beloved agents. The goal was clear: unify all conversations into a single view, so every interaction feels smoother and more consistent, no matter which agent you're working with.

Great idea. Solid plan. Slightly bumpy execution.

What We Were Going For

Marketing agents are specialists. Each one is built for a specific job, a specific platform, a specific type of content. But when they all live in separate silos, the experience starts to feel fragmented. You'd switch contexts, lose threads, and sometimes wonder if your agents were even aware of each other.

The unified conversation view was our answer to that. One place. All agents. One consistent flow.

What Actually Happened First

Let's be honest: the first version of this had some rough edges.

When we brought all agents together under one roof, they didn't always play nicely. Collaboration between agents had hiccups. Handoffs got messy. Some agents would step on each other's outputs, others would go a bit quiet when they should have been contributing. It was a bit like putting together an all-star team and realizing they'd never actually practiced together.

We heard your feedback. We saw the friction. And we got to work.

What's Fixed and Better Now

We've spent the past months tightening up how agents communicate, coordinate, and collaborate inside the unified view. Here's what's improved:

  • Agent coordination is now much more reliable. Agents pass context to each other correctly, so nothing gets lost between steps.

  • No more conflicting outputs. When multiple agents are involved in a task, they now work in sequence and in sync, not against each other.

  • The unified view is stable. Conversations load consistently, history is preserved, and switching between agents mid-task no longer causes unexpected resets.

  • The team feels like a team. Each agent still does its specialized job, but now they do it as part of a coordinated workflow rather than as isolated performers.

Improved

Earlier updates