Tejas explains why storytelling trumps data in B2B, arguing that most B2B presentations fail because they rely on data to persuade, while enterprise decision-making is ultimately emotional.

He notes that many founders spend too much time on data rooms and feature lists, while overlooking the narrative. In reality, the most successful fundraises and product launches are not won by metrics like CAC payback ratios but by defining a compelling “enemy” and presenting a clear “promised land.”

He also breaks down the importance of building a narrative arc before opening a slide deck. He shares the exact framework he used to present to Google’s top leadership and highlights why the first 60 seconds of any presentation are the highest-leverage moment for a founder.

Every founder wants a “viral loop” built into their product, and VCs often ask for it, but true virality (organic, friend-to-friend sharing at scale) is rare in B2B. Tejas argues that a more effective approach is to focus on Product-Led SEO and position the product as a source of original insights that others, especially creators, can draw from.

Tejas explains how Chronicle reached #4 Product of the Year without relying on viral loops, instead leveraging engineered distribution and creator partnerships. He also highlights why the first 60 seconds of the product experience are critical for product-led growth.

Tejas Gawande strongly believes in AI as a thought partner rather than just a generator. Many founders build simple wrappers around AI to reach the market quickly, but he argues that the real moat lies in choosing problems that cannot be easily solved by today’s foundation models.

AI should not be limited to producing faster outputs. Instead, it should help shape the direction, structure, and narrative of what you’re creating. Rather than relying on open-ended “prompt me” interfaces that often produce inconsistent results, the better approach is to use structured systems that guide the user within clear boundaries.

At Chronicle, this meant moving beyond “text-to-presentation” to build an AI thought partner that helps shape the long-term vision and narrative of a story, rather than simply generating slides.

Tejas argues that enterprise AI buyers don’t just buy software, but certainty that the solution will work in their environment. He challenges the common VC advice that AI startups should build highly scalable, self-serve products from day one, noting that this approach often comes too early.

Instead, the most effective AI companies begin as high-touch consulting partners to get in the door, using services as a way to learn from real use cases, iterate quickly, and shape the product over time.

This approach helps companies better understand real-world customer needs, build trust early, reduce risk for enterprise clients, and use those insights to continuously refine and evolve the product.

Big tech companies are retrofitting AI into legacy systems as an added feature, such as Copilot in Word, which improves outputs but leaves the underlying workflow the same.

In contrast, real technological shifts happen when AI reshapes the workflow itself rather than simply accelerating existing steps. Tejas argues that the most meaningful opportunities in AI come from rethinking processes end-to-end, where the product becomes a new way of working rather than a layer on top of old systems.

He also suggests that founders and teams should be clear on the specific outcome they want to improve before introducing AI, rather than adopting it just because it is trending.