Inside Anjin #28: From Task to Flow — Multi-Agent Chaining in the Wild

When we first launched, most users ran one agent at a time. Now, we’re seeing something new: people stacking agents together to solve more complex tasks. Here’s how chaining works inside Anjin — and why it changes everything.
See how users are chaining multiple agents into full workflows — and how Anjin supports advanced automation across business tasks.
A single agent solves a task. A chain starts to solve a process.

Anjin wasn’t built just for individual prompts. It was designed to help users move through real workflows — from messy input to structured output, across multiple steps, tools, or goals.

Now that multi-agent chaining is live for early users, we’re seeing that vision start to play out.

This is what it looks like in practice.

What We Mean by “Chaining”

Chaining lets you connect multiple agents in a single run — where the output of one feeds the next.

A basic example:

  1. Agent A: summarises a product description
  2. Agent B: rewrites that summary as a social post
  3. Agent C: generates a CTA and UTM-tagged link

All of this happens in one flow — and now, in one interface.

No copy-pasting. No context loss.
Just one clean pipeline of action.

What Users Are Doing With It

We’re still early, but here are a few chains already running on the platform:

Startup Launch Flow

  • Product pitch → investor email draft → launch tweet
    Used by: founders testing messaging consistency across formats

Content Repurpose Flow

  • Webinar transcript → 3 blog ideas → 1 post summary
    Used by: consultants streamlining their content stack

Lead Research Flow

  • LinkedIn URL → company overview → 3 personalised cold openers
    Used by: small sales teams or solo SDRs

None of these chains are generic templates.
They’re real tools, built by users to reflect the way they already work.

Why Chaining Works

1. It saves time

Every manual step you remove adds value. Especially when the task crosses formats or roles.

2. It reduces human error

Passing context between tools or people often breaks things. A well-structured chain keeps the logic intact.

3. It creates leverage

The same input — a doc, a name, a rough idea — can generate layered outputs across formats.

It’s the difference between doing something once and creating a repeatable system.

What We’re Learning

Watching users chain agents has helped us refine:

  • How context is carried between steps
  • Where users want to edit inputs mid-flow
  • How to signal what’s happening inside each agent
  • Which agents are most “chainable” vs those better standalone

This feedback loop is informing everything from how we build agents to how we visualise flow creation in the next UI release.

What’s Coming Next

We’re now testing:

  • Editable mid-step previews
  • Optional logic branches
  • Creator-built chained agents (not just user-assembled ones)

This opens up huge potential for tools that aren’t just tasks, but services — multi-step, value-driven, and reusable.

And that’s where things start to get really interesting.

Final Thought: Agents Are Becoming Workflows

At launch, people asked “What does this agent do?”
Now, they’re asking “What do I want to achieve?” — and chaining lets them answer that in one place.

This is where Anjin moves from helpful to powerful.
Not just tools, but flows.
Not just prompts, but products.

Want to start chaining agents in your own workflow?
Join the community and get early access to agent flows and multi-step logic.

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