What happens when the planner works for you?

Follow one couple from venue search to booking to see how an AI agent coordinates work across the planning journey. Click through the chapters or scroll to explore how the interface adapts, information moves between tools, and consequential decisions remain with the couple.

The opportunity was larger than chat

The Knot already supported much of the planning journey, but couples still had to act as the coordinator. They tracked unanswered questions, repeated preferences, compared inconsistent information, and made sure each decision was reflected across the wider plan.

A chatbot could answer questions, but it would not resolve that fragmentation on its own. This concept explored an interaction model where conversation maintained continuity while the interface adapted to the work.

Wedding context → Agent coordination → Adaptive interface → User approval → Updated planning state

What the prototype helped make tangible

Proactivity without loss of control

The agent could monitor open work, surface meaningful changes, and prepare repetitive tasks without sending messages, changing budgets, negotiating, or booking without approval.

Adaptive interfaces beyond chat

Conversation worked as connective tissue, but comparison, editing, budgeting, and contract review moved into interfaces designed for those tasks.

Better connections between couples and vendors

The agent could translate a couple’s preferences, constraints, and open questions into more relevant vendor discovery and better-qualified outreach. Vendor responses could then flow back into comparisons, budgets, and recommendations, creating a more useful connection between both sides of The Knot’s marketplace.

Trust through evidence and visible uncertainty

Missing information remained unresolved until verified. Recommendations retained their rationale and sources, and users could inspect the evidence behind summaries and decisions.

Outcome

The concept was presented to product and engineering stakeholders as a future-state “concept car” and contributed to broader planning discussions. As a contractor, I did not have visibility into subsequent roadmap decisions, so I present it as a strategic exploration rather than a shipped or validated direction.

Learnings

The strongest opportunity was not a general-purpose wedding chatbot. It was a coordination layer that could move work forward across a complex planning journey while returning to the couple for judgment, approval, and trade-offs.

Click through the full prototype to follow one venue decision from search to booking. Or view it full screen here.