The AI-Powered Workflow That Finally Fixed My Context Switching

Leena MalhotraLeena Malhotra
4 min read

Context switching used to be invisible to me.

I’d bounce from code to docs to Slack to X (for “research”).
Flick open one more tab.
Get pulled into a meeting.
Forget what I was doing.
Come back to a function I barely recognized—and wonder where the time went.

It didn’t feel broken.
It felt normal.

Until I stepped back and realized something:

My brain wasn’t the bottleneck.
My workflow was.

I wasn’t tired because I was doing too much.
I was tired because I was switching between too many mental contexts, too fast, too often, without a reset or relay.

The solution wasn’t discipline.
It was an AI-powered workflow that held my focus steady while I moved.

Here’s how I built it—and why I’ll never work without it again.

Context Switching: The Real Tax on Developers Who Write

If you’re a dev-writer hybrid, you live in multiple mental universes:

  • Architecture logic

  • Frontend feedback loops

  • Markdown clarity

  • UX empathy

  • Terminal commands

  • Thought leadership posts

Each of these requires a different part of your brain.
Each switch burns cognitive fuel.

And yet most of us work as if the human brain is stateless.
Like we can tab-hop without consequence.

But here’s the truth:

Every time you switch tasks, you lose context. Every time you rebuild it, you lose time.

That’s not just annoying. It’s expensive.

I Needed One Environment That Let Me Code, Write, Think—Without Reorienting

Enter Crompt AI:
An interface that acts like a thinking OS, not just another assistant.

It’s where I built my anti-fragmentation stack—one that works across code, content, and strategy, with memory and context that follows me instead of resetting each time.

Here’s the flow.

1. Start With a Thinking Anchor → AI Companion

Every session begins with a checkpoint.
I type into AI Companion:

“Yesterday I was debugging an auth flow and writing a post about async decision-making. Here’s where I left off…”

The AI reflects it back, structures my thoughts, and asks clarifying questions.

This isn’t just “chat.”
It’s state sync.

Now, when I jump back into work, I’m not hunting for where I left off.
I’m resuming with continuity.

2. Switch Between Modes, Not Apps

Before, I used five tools:

  • ChatGPT for debugging

  • Claude for longform writing

  • Notion for outlining

  • Google Docs for drafts

  • StackOverflow for workarounds

Each switch broke flow.
Now, I access all major models inside one interface—GPT-4o, Claude 3, Gemini, Mistral.

I type once. See responses side-by-side. Compare logic. Pick what works.

That’s Crompt’s Multi-AI View.

One input.
Multiple minds.
No mental tab-diving.

3. Move From Code to Content With Context Carryover

As a dev-writer, I’m often explaining what I build.

With Code Explainer, I paste a block of logic and prompt:

“Explain this in simple terms for an engineering blog.”
“Add analogies where helpful.”
“Now convert that to a LinkedIn post.”

No extra tools.
No lost time rewriting for each format.

It’s contextful content generation—with dev logic preserved.

4. Anchor My Next Steps → Task Prioritizer

When I’m in flow, I lose track of everything else.
Which is great—until I resurface and ask:

“Wait, what do I actually need to do next?”

With Task Prioritizer, I feed in everything I’m juggling:

  • A feature release

  • A writing deadline

  • A refactor

  • A personal side project

The AI ranks it based on urgency, effort, and goal alignment.

Now, when I context-switch, it’s by design—not by accident.

5. Close the Loop Without Losing the Thread

Before this system, my days felt open-ended.

I’d work, get tired, and leave loose ends everywhere.

Now, I close each session with AI Companion:

“Here’s what I finished. What do I need to prep for tomorrow?”
“Summarize what I learned today.”
“Store the key takeaways.”

The next day, I start with a breadcrumb trail from past me—curated by AI.

It’s like version control for my cognition.

What Changed: From Scatter to Flow

This isn’t about being hyper-productive.
It’s about being mentally anchored.

Before:

  • I switched tasks 30+ times a day

  • I left half-finished drafts and dead threads

  • I constantly felt like I was “behind,” even when I was doing a lot

After:

  • I work in one interface

  • I hold context across modes (dev, writing, strategy)

  • I end each day with clarity—not clutter

The result isn’t just better work.
It’s a calmer, more focused mind—the kind that makes craft sustainable.

Context Switching Isn’t Inevitable. It’s a Design Problem.

If you’re straddling code and content, logic and clarity, shipping and storytelling—
you don’t need more willpower.

You need a workflow that remembers for you.

One that holds your attention when your brain gets tired.
One that lets you be a dev and a writer without dropping the thread.
One that scales with your curiosity instead of fragmenting it.

That’s what this AI-powered system gave me.

Not just more output.

Flow—on demand.

-Leena:)

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Leena Malhotra
Leena Malhotra