Near Future Story – 1
Co-created with AIs (Claude and ChatGPT).
5:47 AM, Mumbai
Ria’s phone glows softly on the nightstand. Not with the harsh buzz of an alarm, but with a gentle pulse from her (Ria) BrandTwin—RBT. It’s been orchestrating behind the scenes all night, not just reviewing products, but conducting a symphony of data: social sentiment shifts, micro-trends emerging from Tokyo Fashion Week, the weather forecast for her afternoon client meeting, even the colour psychology of her calendar appointments.
“Morning brief ready,” RBT whispers through her earbuds as she stretches. “Also, that emerald blazer you bookmarked last month? It’s back in stock, but only three pieces. Matches perfectly with the presentation deck colours for the venture capital pitch next Tuesday.”
Ria smiles. RBT doesn’t just know her size or preferred brands. It understands the unspoken—how she gravitates towards structured pieces before important meetings, how she experiments with colours when feeling creative, how her style shifts between her consulting work, startup advisory, and family gatherings. It knows the different “Rias” that surface depending on the day, mood, event, or even the weather. It’s not artificial intelligence pretending to be human; it’s something more profound—a digital extension of her own decision-making patterns, refined and accelerated.
The Evolution
Eighteen months ago, fashion shopping meant drowning in a tsunami of irrelevance. Three emails a week stuffed with “You might like…” spam that pushed her away rather than pulled her in. The website’s “Recommended for You” section was a joke, suggesting summer dresses in December because she’d browsed them six months earlier. Push notifications that only pushed her away. She’d given up on the brand’s WhatsApp broadcasts after the fifteenth “exclusive” offer that wasn’t exclusive at all.
The crisis point came during Diwali shopping. Forty-seven browser tabs open. Three abandoned carts across different sites. Hours wasted, and still nothing that felt right. Back then, her “relationship” with the brand was a messy tangle of browsing the site, scrolling through the app, clicking whatever came via email, WhatsApp, or RCS. There was no single place to speak and be understood. She remembers thinking: In physical stores, a good associate would remember my style, my past buys, my unspoken cues—and instantly pull out just the right pieces from the rack. Why is digital shopping moving backwards?
Then came the invitation: “Create your BrandTwin—your personal agent that puts you first.”
The New Reality
RBT wasn’t trained on generic customer data. It learned her. Her Pinterest boards, her Instagram saves (with permission), her return patterns, her weather-based choices. More importantly, it learned her aspirations—the gap between who she was and who she was becoming. When she started consulting for sustainable fashion startups, RBT gradually introduced eco-conscious pieces. When she mentioned wanting to appear more authoritative in board meetings, it subtly shifted recommendations towards power silhouettes. It had become her digital double, but one that lived slightly in the future, seeing possibilities she hadn’t yet imagined.
“Three things for today,” RBT continues as Ria makes her coffee. “First, your saved cart. I’ve added the white silk shirt—you’ll need it for the Kolkata conference. Second, there’s a limited collaboration dropping in two hours that matches your ‘architectural minimalism’ board. I’ve pre-registered you for early access. Third—and this is interesting—four items from your wardrobe would complete stunning looks with just one new accessory. Shall I show you?”
This last bit is what Ria loves most. RBT isn’t trying to maximise her spending. It’s maximising her satisfaction. It curates with her interests at the centre, even when that means showing fewer items or suggesting she might find something cheaper elsewhere. That trust is why she checks it daily—not because she has to, but because she wants to. The brand had initially resisted this approach—less spending, lower revenues? But they discovered something counterintuitive: customers whose agents helped them shop smarter, not more, had 3x higher lifetime value. Trust, it turned out, was the ultimate currency.
The Conversation
“RBT, I’m thinking about the Taylor Swift concert next month,” Ria says while reviewing the morning’s curation.
“Already on it. I’ve been tracking the fashion sentiment around her Mumbai stop. Interesting trend: people are moving away from obvious fan merchandise towards vintage-inspired pieces that reference her eras subtly. I found three options that would work—want the full concert experience package or just outfit suggestions?”
“What’s the experience package?”
“Outfit, pre-concert dinner reservation at that new rooftop you bookmarked, and I can coordinate with your friend Ananya’s agent—she’s going too. Your agents can ensure your outfits complement without matching. Very ‘deliberate but effortless.'”
Ria laughs. The idea of agents talking to agents still amazes her. Last week, RBT coordinated with her sister’s BrandTwin to ensure they didn’t buy the same dress for their cousin’s wedding. The week before, it negotiated with a restaurant’s agent to handle her dietary preferences without the awkward “I’m gluten-free” conversation.
