How it works
Present Agent does the legwork, you decide.
Bring all your gift context with you. Present Agent learns and remembers everything you tell it, maps the occasions on your calendar, and does the research ahead instead of starting from scratch every time.
How Present Agent can help:
Map the occasions on your calendar
Relationship, occasion, budget, timing, constraints, and the context that would never fit in a store filter.
Learn and remember your gift context
Interests, anti-wants, past gifts, wishlist notes, calendar context, or quick observations from real life.
Think through occasions and ideas together
One focused follow-up at a time: taste, closeness, risk level, message, and what the gift should communicate.
Get five picks, each with its reasoning
Present Agent narrows by fit, occasion, budget, availability, product quality, and what would feel personal.
Help the gift actually land
No endless grid. Each option explains why it fits, what signal it uses, and where the confidence comes from.
Tell it what landed
Thumbs, notes, wishlists, and past outcomes teach the agent what to repeat, avoid, or refine next time.
Why this is different
Most gift tools optimize for products. We optimize for relationships.
Most ecommerce gift recommendations optimize for products people already browse. Present Agent optimizes for the relationship, occasion, constraints, and signal the gift should send.
Typical ecommerce gift recs
Present Agent recommendations
Starts from inventory, categories, and popular products.
Starts from who the gift is for, what's happening, and what the gift should communicate.
Uses clicks, carts, and broad similarity as the main signal.
Combines stated context, remembered preferences, calendar occasions, wishlists, notes, and feedback.
Returns a long grid that still leaves the shopper doing the reasoning.
Returns five explainable picks with a clear reason for each recommendation.
Treats every occasion like another shopping query.
Keeps the gifting context alive across occasions, people, and follow-up conversations.
Optimizes for conversion on the marketplace surface.
Optimizes for confidence: fit, timing, budget, availability, quality, and emotional signal.
Ready to find the right gift?
Start in a browser chat, from the store, or in your terminal if you're a developer.