// PODCAST

Emotion-Driven AI Content: Building a Startup Without Burnout | Sharmin Ali, Instoried

Sharmin Ali, co-founder of Instoried, explains how her AI content platform measures emotion in copy, why she focuses on retention and profitability, and the founder lessons from two companies.
Sharmin Ali, Instoried on The Builders Club Startup Founders Podcast
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Most marketing copy fails for one reason: it does not make anyone feel anything. Sharmin Ali, co-founder of Instoried, is building a platform to fix that.

She is a second-time founder who first tried to build an Indian Netflix. In this episode she talks about emotion-driven AI content, selling to the US, co-founder chemistry and why she now cares more about retention than hype.

What is emotion-driven AI content? Sharmin Ali’s core thesis

Sharmin’s view is that AI should assist writers, not replace them. Instoried helps businesses generate copy, then analyses its emotional tone, predicts how it may perform and recommends edits before anything is published.

She frames this as a loop she calls GAME: generate, analyse emotional engagement, measure likely impact and engage better. Her argument is that tech is the enabler and human editors still add the final quality.

  • Emotion decides copy. Different products sell different feelings: joy for baby products, fear-based urgency for insurance.
  • AI is an assistant. The goal is productivity for copywriters, not replacing them.
  • Retention is the north star. Word counts and sign-ups are vanity; repeat usage leads to profit.
  • Co-founders must complement. One calmer, one more energetic can be a strength.

What does Instoried do and how does it work?

Instoried is an AI-driven content platform for small and mid-sized businesses and individuals. Sharmin describes it as an end-to-end tool: you generate content, analyse its emotional engagement, get a predicted performance view, and receive smart recommendations to edit it.

She says it was trained on around 50 million sentences with tagged emotions such as joy, anger, fear, sadness, surprise and anticipation. Predictions use historical performance data, built with statisticians.

  1. Generate copy from templates.
  2. Analyse tone, sentiment and emotional engagement.
  3. Predict how the content may perform before publishing.
  4. Use recommendations to edit and improve it.

Will AI like GPT-3 replace copywriters?

Sharmin says no. Many competitors build on GPT-3, so the real challenge is not building the technology but keeping customers.

She argues that raw generation can produce meaningless sentences, so a human layer remains important. Instoried pairs its tool with an in-house team of linguists who offer content as a service, mainly for enterprise clients.

  • Tech speeds up high-volume work such as descriptions, titles and ad copy
  • Human editors raise quality and trust
  • Enterprises tend to want content as a service, not only a tool

Which startup metric matters more: growth or retention?

Sharmin is blunt about vanity metrics. She mentioned a competitor boasting about millions of words generated, and said word count tells you little.

Her north star is retention: how long users spend and how often they return. Acquisition is easy; customer retention is what leads to profitability.

Why profitability now?

With the funding boom cooling, she said investors want real value and revenue. Her plan was to reach profitability within 12 months and aim for about 200 percent growth by focusing on the US market.

How do you sell to the US market as an Indian founder?

Her observation is that selling in the US is emotional: people want to be heard, and relationships take months before a deal. She shared a story of building trust with a customer through genuine empathy before ever talking about the product.

She says B2B is the better route to profitability than B2C, which tends to burn money.

What does she say about co-founders, investors and decision-making?

She credits her co-founder’s complementary skills: he builds the tech while she sells and raises money. In any working relationship, she says, one person is usually a bit more intense and the other more grounded, and founders must accept that.

With investors, she believes in respecting their money while owning the vision. She also stresses declutter: give customers clear choices and focus on one or two things instead of many.

  • Pick complementary co-founders and keep that relationship healthy
  • Tell a clear story that backs your positioning
  • Prioritise ruthlessly and avoid the sunk cost fallacy

What founder mistakes does she warn against?

She lists three traits for founders: being a people person, empathy and building for impact beyond money. She also lists three mistakes to avoid.

She also spoke about the importance of mental wellness, saying founders should seek support and give themselves time to reset.

  1. Starting a company only for the money.
  2. Chasing valuation in a first company instead of making early investors successful.
  3. Holding on to something that is not working because of the sunk cost fallacy.

Further reading and sources

Frequently asked questions

What is Instoried?

Instoried is an AI-driven content platform co-founded by Sharmin Ali. It helps businesses generate copy, analyse its emotional engagement, predict performance and get recommendations. It also offers content as a service through human linguists for larger clients.

Can AI writing tools replace human copywriters?

According to Sharmin, no. She sees AI as a productivity assistant for high-volume content, with human editors needed for quality and judgment. Tools that only generate text also struggle to keep customers.

Which metric should an early SaaS startup track?

Sharmin argues for retention: how long users stay and how often they return. Vanity numbers such as total words generated or sign-ups do not show real value, while retention is what drives profitability.

Conclusion

Sharmin’s message is to build something customers keep using, back it with empathy, and stay focused on a few things done well.

If you are building a content or AI product, track retention from day one and pair automation with human quality.

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Why the Self-Serve PLG Playbook Fails with Indian Enterprise CXOs (And the High-Touch Assisted Model That Actually Wins)

Self-serve PLG works when the user is also the buyer. In Indian enterprises, they almost never are. A product-led funnel can get your tool into a team’s hands, but it rarely gets a CXO to sign. The model that wins is a high-touch, assisted motion that uses product usage as proof, not as the whole sales strategy. Here is why the standard playbook stalls in India’s large organisations, and what to run instead. Why does the self-serve PLG playbook fail with Indian enterprise CXOs? Product-led growth, as described by pioneers such as OpenView, assumes that users discover, try and adopt the product themselves, and that revenue follows usage. That assumption holds for tools with low risk, low price and individual buyers. Enterprise buying in India breaks all three conditions at once. The user is not the buyer. An analyst may love your tool. The budget sits with a CIO, CFO or business head who has never opened it. Risk is organisational. A CXO signs against security, vendor-continuity and reputational risk, none of which a free trial answers. Trust is personal. Decisions often move on credibility, references and conversations with someone they respect, not on a sign-up flow. Does a free trial or freemium plan ever work in Indian enterprises? It can work for teams, departments and SMB-sized units, where one manager has a card or small discretionary budget. It rarely scales to the top accounts without a human who turns usage into a business case. What does the high-touch assisted model actually look like? Assisted does not mean old-fashioned. It means every stage of the product experience is paired with a person who removes a specific obstacle. Stage Pure self-serve PLG Assisted model for Indian enterprises Discovery Organic search, product trial Warm introduction, peer room, referral Evaluation Self-guided trial Guided pilot with named success criteria Decision User upgrades with a card Business case built for the CXO and the committee Contracting Click-through terms Negotiated MSA, security review, procurement Expansion In-app prompts Account lead plans rollout across divisions How do you turn product usage into a signed enterprise contract? Use the product as the evidence, and a person as the translator. A practical sequence: Find your champion. Identify the user who gets the most value and ask them to explain the problem in their own words. Quantify the result. Convert usage into time saved, errors avoided or revenue influenced, in a one-page summary the CXO can read in two minutes. Map the buying committee. Ask your champion who else must say yes: IT, security, finance, legal, and the business owner. Run an executive conversation. A founder or senior lead speaks to the CXO about outcomes and risk, not features. Offer a scoped commitment. A defined pilot or first-division rollout with clear exit and expansion terms reduces perceived risk. When should you still invest in self-serve? Do not abandon it. Use self-serve as the top of the funnel and as a signal engine. Track which accounts have several active users, which teams invite colleagues, and which admins explore security settings. Those are the accounts your sales team should call first. Think of it as product-qualified leads feeding a human-led close. Many global companies now run exactly this hybrid, and it fits Indian enterprise buying better than a pure self-serve approach. FAQ Is PLG dead for B2B SaaS in India? No. PLG is useful for building awareness, usage data and champions inside accounts. It fails as the only motion for large enterprises, where committees, security reviews and relationships decide the contract. A hybrid model works better. What is a product-qualified lead (PQL)? A PQL is an account or user whose in-product behaviour suggests buying intent, such as multiple active teammates or admin-level exploration. Sales teams use PQLs to prioritise who to approach with a human conversation. How many people does an assisted enterprise sale need? It depends on deal size, but you typically need one senior owner for the relationship, one technical resource for security and integration questions, and a customer success lead after signing. Founders often cover the first two roles in early deals. Conclusion PLG gets you into the room, but it does not get a CXO to sign. In Indian enterprises, winning sales pair product evidence with human trust: a champion, a business case, a guided pilot and a senior conversation. Building an assisted enterprise motion? Meet founders and CXOs who have done it at The Builders Club, and bring your toughest sales question to our next roundtable. Join The Builders Club. About the author: Sohail Khan is Founder and Director of The Builders Club, a professional community of 35,000+ founders and CXOs across India, UAE, Singapore and the US.

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