Asyncify

Your product has something
to say.

The delivery engine for every channel, and the agents that answer back.

the problem

Providers rate-limit. Networks drop. Fire-and-forget means gone forever.

the absorber

Absorb the burst. Pace their limits. Send twice, deliver once.

the assurance

Back off, retry, recover. Out of attempts, park for replay. A bad address never retries at all.

the scale

A million promos never delay a login code.

the bridge

…and the world answers back.

the condition

The engine listens back — opened means the reminder never fires.

at-least-once · idempotent · observable end to end

Every message ends at delivered. Ours listen for what comes back.

03 · the turn

Delivered was just the beginning.

The agentic era of notifications A customer's reply is sitting in a queue. Meet what answers it.

04 · agents

It answers. You stay in control.

evals · replayed, not mocked

run: refund-scenarios · 3 of 3 passed

tool: orders_lookup 312ms

pendingApproval: refund_reissue

replyContains: "2 days" attempts: 2

observability · every turn traced

turn #14 · 3.2s

model call claude · 1,204 tokens · cached 1,847

tool: search_history 89ms

tool: orders_lookup 312ms

reply · delivered

handoff · it knows its limits

agent I can't override the delivery date.

→ handoff_to_human

status active → waiting_human

Sam (team) I've flagged this with our courier — you'll hear from me today.

cost · flat, not climbing

tokens per turn · last 8 turns

turns 1–4 rolling fold turns 5–8

cache_control · the prefix is cached, not re-paid

TOTAL production-ready AI agents in your channels

observability evals guardrails knowledge memory cost human handoff

Your product has something to say.

And now it can hear the answer.

Start building read the docs

Your product has somethingto say.

The engine: absorb the burst, pace the providers, retry, fail over, and never drop a message.

Every message ends at delivered. Ours listen for what comes back.

The turn: a notification is delivered to your user's inbox, they reply to it, and the reply travels back into the engine.

The agentic era of notifications A customer's reply is sitting in a queue. Meet what answers it.

Agents: your own agent picks the reply up out of the queue, searches its memory, looks the order up, waits for a human to approve the refund, and answers back on the channel the user is already in.

Proof: four receipts printed off the platform — an eval run replayed against the real agent, a fully traced turn, a handoff to a human, and the token cost per turn — and then the one button on this page.

Your product has something
to say.