Notey could only talk when talked to. Now it can open the conversation: once a day it sends a Telegram digest of what it sees coming — notes scheduled in the next 24 hours, anything that failed to publish, drafts still waiting on you, evergreen pieces that have never gone out, and subscriber counts but only when they’ve actually been measured. When there’s genuinely nothing to report, it says so instead of inventing filler. It reports and suggests — it never queues or publishes anything on its own.
One team, one Notey: its persona now comes from a single place and rides into every conversation. The built-in default writes like a content native — match your voice first, cut filler, treat cadence nudges as a service rather than a quota. In the AI tab’s Context section you can replace it wholesale with your own soul file, and your text wins exactly as written. Two rules survive any rewrite: Notey never invents facts, and nothing publishes without your explicit approval.
When the model behind Notey got saturated, requests used to fail outright after three instant retries inside the same jam. Now Notey waits out short bursts with spaced retries first, and only if the configured model stays unreachable does it fall through to provably free alternates from the same provider, with a hard cap on how far down the chain it will go. When a swap happened, the reply tells you which model actually answered — never swapped silently mid-conversation — and a turn that already ran tools is never replayed in a way that could duplicate drafts or spend.
Three engines that already power the app were invisible to outside callers. They’re now registered capabilities with stable names: get_repurpose_suggestions returns the one ranked “what should I repurpose” answer; get_note_stats pulls back measured engagement per note — Substack restacks and reactions, Bluesky likes and reposts, X likes, reposts and impressions — and says “nothing measured yet” instead of faking zeros; fan_out_piece turns one strong piece into platform-native draft variants that wait for per-child human approval. Everything passes the same token scopes and live role checks as the rest, and the AI tab’s tool list now renders straight from the server so it can’t silently drift out of date again.
“Who am I online?” and “how big is my audience?” now get live answers, not guesses. Notey pulls your current handle, display name, bio, avatar and follower count straight from each platform’s own API at ask time (Substack, Bluesky, Mastodon), and aggregates audience numbers — followers, following, posts — from the same verified self-lookups. Platforms with no honest pipe stay out entirely: X returns an explicit refusal rather than scraped numbers, and Substack audience totals point you at its own dashboard instead of inventing a figure.