AI Secretary vs Centiv

AI Secretary and Centiv are both personal assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AI Secretary

Telegram AI Secretary is a self-hosted Python daemon that listens to a Telegram account via Telethon, runs each incoming message through configurable notification rules and an LLM filter, then fires only the alerts that pass to your phone through ntfy. Setup requires a working Python environment, Telegram API credentials, an LLM endpoint, and an ntfy instance — none of which come pre-configured. The filtering logic lives in notification_rules.py, which you edit directly; there is no UI. It handles muted groups, direct urgency signals, and same-day scheduling well. It does not handle anything beyond single-message evaluation — no thread awareness, no conversation memory across sessions.

Centiv

The scraped page content returned for this tool does not match the tool data provided: the page describes a travel photo-identification app called Spotter, not a financial management product. No factual claims about the tool's actual feature behavior, agent architecture, or integration depth can be sourced from the available page content. The tool data describes six specialized AI agents running in the background across budgeting, subscription monitoring, and financial health scoring — but without a verified source page, production behavior at account volume or edge cases in transaction categorization cannot be assessed. Teams evaluating this tool should pull the live product page directly before committing to a sprint.

Attribute	AI Secretary	Centiv
Pricing	Free	Paid
Price	—	$7.75/mo or $92.99/yr
Free trial	No	No
Open source	Yes	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	Python	iOS, Android
Pros	LLM-assisted urgency evaluation catches natural-language signals like 'I'm outside' or 'free tonight?' that keyword rules miss, so messages requiring a real response get through even when Telegram is fully muted. Fully self-hosted with no external service dependency beyond your chosen LLM endpoint, which means your message content never touches a third-party notification broker. Editing notification_rules.py gives you direct control over filter logic without an abstraction layer between your intent and execution, so rule changes take effect on the next restart without waiting on a vendor's UI. ntfy as the delivery target works on Android and iOS without a proprietary app, so you receive filtered alerts on standard push infrastructure you likely already run. MIT license with a systemd unit file included, so deploying this as a persistent background service on a Linux machine is a copy-paste operation rather than a packaging project.	Six background AI agents run subscription monitoring and health scoring without manual prompting, so subscription waste surfaces automatically rather than after you notice a charge three months in. Receipt capture and tax-deductible expense tracking are built into the same workflow as budgeting, so you are not stitching together a separate receipt app at tax time. Scenario modeling for financial decisions is vendor-described as part of the core feature set, so you can stress-test a job change or large purchase against your actual account data rather than a spreadsheet estimate. Freemium tier described as free with no credit card required, so you can assess data connection depth and agent behavior before committing spend.
Cons	Each message is evaluated in isolation with no conversation memory across sessions, so follow-up messages that only make sense in context — 'still waiting', 'did you see my last message' — can fail the urgency filter even when the original message would have passed; teams who need thread-aware filtering have to maintain their own context-injection layer or abandon this tool for a hosted alternative. All configuration changes require editing Python source files directly and restarting the process; there is no API, no web UI, and no hot-reload, which means non-technical household members or teammates cannot adjust their own notification rules without developer involvement. The tool listens to a single Telegram account only — no multi-account support, no other messaging platforms — so anyone filtering across Signal, WhatsApp, or multiple Telegram accounts simultaneously has to run and maintain separate instances or switch to a unified notification management service.	No API access is available, so any team or power user who wants to pipe financial insights into their own dashboard, alerting stack, or data warehouse hits a dead end — there is no workaround short of manual export. No self-hosted option exists, meaning all account data flows through Centiv infrastructure. Users with strict data-residency requirements or who connect accounts at a business rather than personal level have no path to keeping data on their own stack — that constraint alone pushes compliance-sensitive users to self-hostable alternatives. The scraped page content provided does not match this product, which means independent verification of agent behavior, data-sharing scope, and categorization accuracy could not be completed for this listing. Teams should validate transaction categorization accuracy against their own account complexity before treating briefings as a source of financial truth.

Bottom line

AI Secretary is free while Centiv is paid; AI Secretary is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AI Secretary and Centiv?

AI Secretary is Free and open source, while Centiv is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AI Secretary better than Centiv?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.