Bhavana Thudi

Founder of Magi (Marketing AGI)

[Bhavana Thudi @bthudi]

Brands behave like neural networks. That’s why today we shipped a major upgrade to @MagiHQ's BrandOS.

A neural network is a connected system that learns from feedback and gets sharper over time. Brands work the same way: one core story connected to everything a brand touches, all continuously shaped by what happens in the market and how the business actually operates.

If you treat a brand like a skills file, you risk five things:

1) Staleness: your skills file captures a snapshot, then the business moves. Product ships, the ICP shifts, positioning sharpens, and sales learns new objections. If your brand system is not built to keep up, it goes stale.

2) Inconsistency: when your brand lives in a linear doc, attributes get treated independently instead of as a connected system. But positioning shapes messaging, compliance limits claims, and identity influences perception. If those connections are not clear, "on-brand" becomes a debate.

3) Retrieval: the interconnected structure is what makes precise retrieval possible. Instead of pasting a whole markdown file into the context window, you pull the exact slice you need, so the output stays sharp and on-brand.

4) Learning: a strong brand compounds what it learns over time. Winning messaging, proof points, customer objections, and campaign performance should strengthen the brand system instead of disappearing into docs and Slack threads.

5) Cost: pasting an entire markdown file into every workflow is expensive. You pay in tokens, latency, and review time, and you still fail to retrieve the right context consistently.

That's why a markdown file plus a chat wrapper breaks as teams scale. The document stays static while the business evolves and the brand quietly drifts.

Brand drift is a systems problem. More on our latest product update here:

https://t.co/hpHfyJCqse

[Bhavana Thudi @bthudi]

Is your AI completing workflows end to end?

To capture the opportunity in front of us, we have to ship whole workflows (not individual tasks) with the right humans in the loop at the right moments. That means knowing the autonomy layer: which tasks can run autonomously, which need human iteration, and which are human-led, like content that needs a human point of view.

[Bhavana Thudi @bthudi]

What are you buying right now: primitives, workflows, or outcomes? You likely need all three, just for different parts of the business.

[Bhavana Thudi @bthudi]

Buying primitives, workflows, or outcomes?

Do you know what you actually need?

Before you pick a vendor, get specific about the work, the standard of "done," and who owns the outcome.

[Bhavana Thudi @bthudi]

A lot of AI projects fail because workflow and value were never defined clearly in the first place. According to Gartner, more than 40% of agentic AI projects are predicted to fail by 2027 due to cost and unclear business value.

[Bhavana Thudi @bthudi]

If the job is a business result and you want accountability, buy outcomes: a measurable definition of success with a clear owner, not just a tool in the middle.

[Bhavana Thudi @bthudi]

If the work is repeatable and you want leverage (speed, consistency, quality, lower risk), you need workflows: the operating loop. Inputs, allowed actions, what "good" looks like, review gates, escalation rules, and a clear owner. You need repeatable rituals.

[Bhavana Thudi @bthudi]

If the job is to assemble your own operating loop, buy primitives: models, connectors, orchestration. They help when you already know the inputs, outputs, and standard of "done" and you just need a component.

[Bhavana Thudi @bthudi]

[6] Prioritize accounts week by week based on signals and account research, and generate personalized demo scripts for top accounts.

It feels like having a full strategy and ops pod behind me.

The barrier to getting this kind of leverage is gone.

[Bhavana Thudi @bthudi]

How we run a lean team that punches above its weight.

Sharing a sneak peek into the agents we run on a daily/weekly cadence that are quick to set up and pay off almost instantly.

They help us make better decisions, stay aligned, and course-correct faster.

[Bhavana Thudi @bthudi]

[4] Gather and prioritize product roadmap areas with traceability back to customer conversations.

[5] Review customer success and sales calls and ensure action items are followed through.

[Bhavana Thudi @bthudi]

What these agents do:

[1] Get observability into where time is spent across every function.

[2] Translate weekly engineering ships into knowledge for marketing content

[3] Review sales calls to evaluate ICP segmentation, positioning, and messaging.

[Bhavana Thudi @bthudi]

Enterprise buying is a wild ride—complex, intricate, and full of opportunities for authentic connections.

Read more here: https://t.co/kelYh5QU4I

How can we build strong, long-term relationships in this digital age? What would you like to see?
#B2B #GTM

[devrev @devrev]

Companies thrive when everyone sits at the table with the end user (the customer), a concept fundamental to our beginnings: https://t.co/1TyoGXVWVy

However, growth introduces complexity: specialized teams, tools, and cross-functional work exacerbate this issue.

Bhavana Thudi, our Head of Marketing, discusses 'The Crisis of Fractured Organizations' and explores how teams can tackle misalignment within organizations to achieve greater success in today's modern work environment.

[Holger Müller #EnterpriseAcceleration @holgermu]

MyPOV - Indeed - time for a fresh look at getting support and sales together for software powered enterprises - which moth of them are or will be. #NextdGenApps w @Bthudi @MichaelEMachado @andiepear and @AndyThurai & @Vaughanta

[Bhavana Thudi @bthudi]

Catching the dream? The world is increasingly taking a visual lens to thinking, learning and collaborating! Take those big ideas and lead with purpose. #dreamforce2022 #devcrm
https://t.co/G0HJkkb8oz

[Bhavana Thudi @bthudi]

Read more about this in my blog https://t.co/YEBI7vcjNO

[Bhavana Thudi @bthudi]

Make time for the work that matters. Sound cliche’? 🙋
Read more about how we may eliminate work about work 👇

[Bhavana Thudi @bthudi]

👉 Help me Help you by providing stakeholders visibility into the information needed to make tradeoffs and decisions, and empowering them without requiring a meeting or risking customer and product.

[Bhavana Thudi @bthudi]

👉 How time is spent is something that GitHub data should automatically provide, mashing this what business decisions get made on, like products, capabilities and features.

[Bhavana Thudi @bthudi]

👉 Understanding the codebase shouldn’t be a series of meetings and outdated documents and instead, technology should provide answers to how code is related to each other.