Flowrite vs Agentys: What Happened to Flowrite and What to Use Instead (2026)
· The Agentys Team
Flowrite was acquired by Maestro Labs in 2024 and became MailMaestro. This 2026 guide compares MailMaestro (the Flowrite successor) vs Agentys: prompt-based generation vs automatic voice-matched drafting.
Flowrite no longer exists as a standalone product — Maestro Labs acquired it in January 2024 and folded it into MailMaestro. Agentys offers automatic drafting rather than the prompt-based generation Flowrite pioneered.
MailMaestro Today: What the Flowrite Legacy Became
MailMaestro is the product former Flowrite users land on. It is a Gmail and Outlook add-in (not a standalone client) that provides AI-assisted email composition, reply drafting, email summarization, and smart scheduling suggestions. The product works within your existing inbox — you open an email, click the MailMaestro sidebar, and the AI proposes a reply or a summary on demand.
The core workflow is still prompt-based: MailMaestro reads the thread context and generates a draft when you ask it to. You can adjust tone (professional, friendly, concise), give it additional instructions, and regenerate if the first attempt misses. The intelligence is noticeably stronger than Flowrite's original templates — the models have improved substantially since 2021 — but the fundamental relationship between user and tool is the same. You initiate; the AI responds.
Pricing as of May 2026: MailMaestro offers a Free tier (3 AI requests per week), a Professional tier at $15/month with unlimited core features plus email summaries and attachment analysis, and an Enterprise plan at custom pricing. There is also a Maestro Duo bundle at $24.99/month combining MailMaestro Professional with TeamsMaestro Professional. Annual plans carry a 20% discount. For former Flowrite subscribers who paid $5–19/month, the Professional plan at $15/month is the closest equivalent with meaningfully broader capabilities (maestrolabs.com/pricing).
Where MailMaestro improves on Flowrite is breadth: attachment analysis, meeting scheduling suggestions, and better multilingual support. Where it remains structurally identical is that it is reactive — nothing happens without you opening the sidebar and clicking generate. There is no background processing, no voice model built from your sent history, and no draft waiting in your inbox when you open it.
Agentys: The Automatic Alternative
Agentys operates on a different premise. Rather than waiting for you to open a sidebar and request a draft, it processes your inbox continuously in the background. As incoming emails arrive, the AI reads them, understands the thread context, and writes complete reply drafts matched to your personal voice. By the time you open your laptop, the drafts are sitting there — not suggestions, not prompts, but finished drafts ready for a final read and one click to send.
The voice model is what separates this from prompt-based tools. Agentys analyzes your past sent email once you connect your account (it has enough signal after about 30 sent messages), building a per-contact communication profile: how formal you are with a given person, whether you use their first name or a title, your typical sentence length, your sign-off patterns. A draft to a long-standing client reads differently from a draft to a new prospect — because you write differently to each of them, and the AI has observed that pattern across dozens of past exchanges.
Email eats a big share of the average workweek, and the cost is more than the typing: every time you stop to start a reply cold, refocusing afterward takes real time. Agentys addresses both problems at once: the drafts are ready before you open your inbox, so there is less drafting friction, and because you are reviewing rather than composing, the context-switch cost of email shrinks considerably.
After a short learning period, most users find the majority of their drafts go out with little or no editing, reading much like something they would have written themselves. The learning curve is real — the first few days, you will correct tone mismatches or add context the AI missed. But each correction feeds back into the voice model, and the drafts quickly start reading like you wrote them on a good day.
Pricing starts at `$16.99/mo` for the Starter plan, with a Professional plan at `$29.99/mo` monthly (or `$24.99/mo` billed annually). A 7-day free trial is available.
When a Prompt-Based Composer Is Actually the Right Choice
Honesty requires saying this plainly: for certain workflows, MailMaestro's prompt-based model is built for a different job than Agentys' automatic approach.
Cold outreach at scale is one of them. If your job is to write 40 personalized cold emails per day to people you have never met, an automatic voice model trained on your past correspondence does not have enough signal. Each email requires a fresh frame — a specific company hook, a reference to a recent funding announcement, a mutual connection to mention. That kind of situational personalization requires your conscious direction. MailMaestro's sidebar model, where you provide the context and the AI expands it, is built for that workflow.
The same applies if you are a new hire building a communication identity. Your sent history is thin, the contacts are unfamiliar, and you want to be intentional about your tone while you settle into a role. A coaching layer or explicit prompt gives you control that pure automation cannot.
Where Agentys wins is volume plus relationship depth. If you receive 60–100+ emails per day from recurring contacts — clients, colleagues, partners, direct reports — and the majority of those require a substantive but not deeply strategic reply, the automated approach saves disproportionate time. The voice model works best when it has material to learn from. If your sent folder contains hundreds of emails to the same 30 people, Agentys knows those relationships well enough to write for you without you touching a keyboard.
One genuine limitation of Agentys worth flagging: if your role involves a lot of high-stakes, legally significant, or deeply political internal email, automatic drafting carries real risk. A single draft sent without careful review to the wrong internal stakeholder can create problems that saved time will not compensate for. Agentys is built for the 70–80% of email that is routine — scheduling, follow-ups, updates, acknowledgements, requests. The sensitive 20% still needs a human in the loop.