AgentDraft vs. Nylas.

Nylas positions itself around "build custom scheduling solutions 10× faster" — a unified developer-velocity layer over Google, Outlook, Exchange, and Apple, with embeddable schedulers, native UI components, webhooks, and the new Meeting Notetaker API. It's the canonical "everything you need to build a Calendly competitor" surface.

AgentDraft starts from a different problem. The 2026 reality isn't a developer building one scheduling product for one type of user. It's N agents — your assistant, your vendor's bot, your prospect's auto-responder — racing each other on the same calendar. Nylas gives those agents an excellent way to read and write a calendar. It does not tell you which of two agents wins when both want 3pm on Tuesday. That's the gap AgentDraft fills.

Nylas exposes provider primitives — Create / Read / Update / Delete on events, free/busy lookups, webhook deltas — but the race resolution is the underlying provider's. Two agents call POST /events with overlapping times; both succeed; the calendar ends up double-booked unless the application layer above Nylas implements its own dedupe. This is the right design choice for a unified API; it's also the gap that multi-agent scheduling exposes.

AgentDraft resolves the same race at the storage layer. Every booking carries an agent_priority. The check is a DynamoDB ConditionExpression on the bucket row, so the check is the write — there is no application-level "is this slot free" window. In the collision benchmark, the rank-1 agent won 100.0% of races at p99 112 ms across 500 concurrent attempts, with 0 double-commits.

Nylas covers calendar, email, and contacts under one API, plus the Meeting Notetaker, plus white-labeled embeddable schedulers. If you're building a product where the customer connects their work account and your app reads, writes, notifies, and embeds — Nylas is the path of least resistance. The breadth is the point.

AgentDraft is intentionally narrower. The conflict engine, per-agent priority, the bump window, the audit trail, and the agent mailbox are the entire product. If your stack already has Nylas as the unified provider layer, AgentDraft can sit on top of it: agents commit through AgentDraft, AgentDraft decides the winner, the winning write flows down to Nylas. Same pattern as Cronofy underneath; we don't compete with the provider layer.

Nylas rows reflect the public product surface at nylas.com at the time of publication. If we've mis-stated a feature, tell us and we'll correct it. We have not run an equivalent benchmark against Nylas; if their team would like to collaborate on a head-to-head methodology, we'd welcome it.

• Nylas. You're building a human-productivity product — a scheduler, an inbox-aware assistant, a meeting-intelligence tool — and you need one API that covers calendar + email + contacts + notetaker across most providers. The breadth and the embeddable UI components are the reason.
• AgentDraft. More than one agent will write to the same calendar — which is the direction every serious agent stack is heading. The conflict engine, the priority model, and the audited collision benchmark are the reason. The switching cost is the moat: once your agents are wired to AgentDraft, the coordination guarantees travel with them.
• Both. A reasonable pattern. Let Nylas be the unified provider layer (one auth flow, one webhook stream, one embeddable picker for any human-facing flow); let AgentDraft be the agent coordination layer above. Wire AgentDraft's commit hook to call Nylas's create-event on the winning write. They don't overlap on writes if AgentDraft owns the commit decision.

• The AgentDraft collision benchmark — the 500-attempt receipts behind the comparison.
• Why AI scheduling agents collide — the thesis under the multi-agent framing.
• AgentDraft protocol specification — the conditional-write engine, in spec form.
• AgentDraft vs. Cronofy — the related comparison if your provider stack is Cronofy.