Replies, analytics, AI

Capability Reviewed · not yet fact-checked

At a glance

Summary

Jason AI is an AI writing assistant trained by Reply for outreach workflows. It works in three places: the From magic ✨ sequence builder, where one prompt produces a first email and then the rest of the sequence; the email step editor of any sequence, where it generates or improves copy from a prompt, a summary, or bullet points; and the Inbox, where it drafts responses to prospect replies. In each place, generated text is editable, regenerable, and refinable with quick commands for formality, tone of voice, translation, and length. Jason analyzes your input, previous conversation context, and sequence information to shape what it produces.

Problems it solves

• A blank sequence editor — one prompt describing the offer produces a first email and a connected set of follow-ups, plus suggestions for which channels to use
• Copy that is close but wrong in register — quick commands change formality, tone, length, or language without a rewrite from scratch
• Slow follow-up drafting — follow-ups can be generated from the thread rather than written again per prospect
• Reply backlog — inbound replies come back as drafts in the Inbox, ready to edit, regenerate, or send

What Reply can do

• Generate a full outreach sequence from a short prompt with From magic ✨ — the first email first, then the remaining steps built on that prompt and the approved email, including suggestions for which channels to use
• Fill and expose Business case detection and Subject fields alongside the generated body, both editable; the detected business case determines the category all later emails are built from
• Generate or improve the text of email steps in any sequence, not only sequences created from Magic
• Offer three generation routes on a first email — Write prompt in editor and improve text with GPT (expand, rewrite, translate, or generate a new template from scratch), Generate from a summary, and Generate from bullets
• Offer two routes on follow-up emails — Write prompt in editor and improve text with GPT and Generate follow-up based on thread, so the follow-up uses the context of the previous conversation
• Refine a prompt before sending it with the Improve prompt button — Formality level (Professional, Friendly, Neutral), Tone of Voice (confidence, persuasiveness, wit, straightforwardness, empathy, or custom), Translation, and Length Modification
• Refine generated text by highlighting a fragment and picking a command from the drop-down: Ask Jason AI (free-text instruction), Fix Grammar, Formality, Tone of Voice, Translate, and Change Length
• Accept prompts that specify writing style, tone of voice, and language — with a documented set of writing styles from Academic through Technical and tones from Authoritative through Warm
• Generate and edit text in a long list of languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Chinese (Simplified), Japanese, Korean, Arabic, Hindi, Ukrainian, Polish, Turkish, and many more
• Regenerate text and step through the variations with the previous and next arrows in the Magic sequence, and re-generate a draft in the Inbox
• Draft replies to inbound messages — categorize the reply, generate a response from the message, the prior conversation, and the context you supply, then save it as an AI Draft or send it automatically
• Book meetings from replies categorized Meeting intent — check availability on a connected calendar or booking link, propose the next free slot if the first is taken, and compare availability when the contact sends their own link
• Refine an AI draft in the Inbox the same way as sequence copy: highlight text and apply a command, add extra instructions, rewrite in a different tone, or translate
• Research each prospect before writing, in AI SDR sequences, using up to three personalization points across company, prospect, and industry categories — or your own custom contact fields
• Surface the writing rules it has inferred from your likes, dislikes, and edits as editable AI Learnings

What Reply cannot do

• Pick your audience — contacts are added separately in the People step of the wizard, by search, CSV import, existing lists, or manual creation
• Generate a reply for a thread categorized Do not contact
• Keep an earlier draft when a new inbound reply arrives — the previous draft is discarded and a new one is generated from the latest message
• Answer more than the most recent message when a prospect sends several replies in a row
• Preserve your text when you start a new prompt without highlighting anything — the previous text is replaced entirely by the newly generated text
• Guarantee equal quality in every language — proficiency varies by language, context, and task
• Launch a sequence with missing mandatory data — the Launch step marks incomplete items in red and blocks the launch until they are green
• Combine contact-field personalization with most research options — selecting Contact Fields Personalization locks every other research option except Default Research
• Update or delete an AI Learning you wrote or edited yourself

Research inputs for AI SDR copy

In an AI SDR sequence, what the AI knows before it writes is configurable. Standard AI SDR personalization already uses your business context plus publicly available data; personalization points go a step further by telling the AI what kind of information to research about a company, prospect, or industry before generating messages. They sit under Step 3 – Research agents during sequence setup, and you can choose up to 3.

The AI collects the information from public sources — LinkedIn, company websites, recent news. When data is found for every selected point, it prioritizes the most relevant one for the first message and uses the others in follow-ups; when only one or two are found, it focuses on those.

Selecting Contact Fields Personalization locks every other research option except Default Research. Custom Research is rolled out per account and may not appear in every workspace; where it does, the in-product guidance is to name two to four specific research areas, write in full sentences rather than keywords, name the source type ("LinkedIn posts", "job postings", "podcast interviews", "company blog"), set a timeframe, and say what to exclude.

AI Learnings

AI Learnings is a transparency layer over the writing style Jason has inferred from you. The AI watches three surfaces — approval mode, message preview, and Inbox suggested replies — for likes, dislikes, and edits, then consolidates those signals on a daily cycle into named rules written in plain English. Weak signals alone are not enough: likes and dislikes without edits are skipped while there are three or fewer of them.

You can add a learning yourself with + Add Learning, and edit any rule inline. Editing an AI-generated rule changes its source to Manual — and once a rule is manual or has been edited by you, the AI no longer updates or deletes it; it maintains only the AI-generated rules you have not touched. The AI Learnings tab lives under the AI SDR section and is rolled out per account, so it does not appear in every workspace.

Required inputs

A prompt describing the outreach goal, the offer or service, the target audience, and any tone, style, or language preference — the more specific, the more specific the output. For sequence generation you also need contacts, connected sending accounts, a schedule, and the sequence settings. For AI replies you need either the additional context you type into the AI replies tab (non-AI SDR sequences) or a connected knowledge base (AI SDR sequences), plus a meeting tool or booking link if Jason should schedule meetings. For research-driven copy in an AI SDR sequence, the personalization points you select during setup — and, if you use contact-field personalization, the custom fields holding that data.

Produced outputs

A generated first email with subject line and detected business case; the remaining sequence steps, logically connected to one another and editable individually; regenerated variants you can page through; refined text at the requested formality, tone, length, and language; and AI-generated replies saved in the Inbox with an AI Draft label, sent from your email account with your signature.

Use Reply when

• You need a working sequence quickly from a described offer and will edit rather than write — see Create a sequence
• Existing copy needs a register change — more formal, shorter, translated, grammar cleaned — rather than a rewrite
• Reply volume outpaces manual drafting and a reviewed draft per thread is enough; see Process replies

Do not use Reply when

• You want the AI to also find, score, and continuously feed prospects into the motion — that is AI SDR, with offers, playbooks, and knowledge bases as its configuration
• Messaging rules must apply consistently across every generated message in a sequence — encode them in a playbook instead of repeating them in ad-hoc prompts
• The copy must be signed off unchanged — generated text is a starting point and the documentation assumes you review and edit it

What you still need to build

• The substance of the prompt: the offer, the audience, and the outcome you want — vague or open-ended instructions produce vague text
• Your review step — decide per sequence whether AI replies save as drafts or send automatically, and who checks them
• The reusable version of your style rules: prompts are per-message, playbooks are per-sequence, and AI Learnings are account-wide
• The research angle worth taking — three personalization points is a choice about what makes your outreach relevant, not a setting to max out

capability: ai_writing_assistant
supported: true
interfaces:
  product_ui: live
  api: not-verified
  mcp: not-verified
  cli: not-verified
required_objects:
  - sequence
side_effects:
  - generates_sequences
  - generates_message_copy
  - drafts_replies
  - sends_replies
  - books_meetings
human_approval_recommended: true

Limits

• From magic ✨ is documented as a beta feature.
• Prompting without a selection is destructive: starting a new prompt without highlighting text replaces the existing text entirely.
• Personalization points: up to 3 per AI SDR sequence; selecting Contact Fields Personalization locks every other research option except Default Research.
• AI Learnings: rule text up to 1000 characters, at least one category per rule, and Account scope only in the current iteration.
• Learnings are not formed from weak signals alone — likes and dislikes without edits are skipped while there are three or fewer of them.
• Jason generates a reply only for the most recent message when several arrive in a row; a new inbound reply discards the previous draft.
• No reply is generated for threads categorized Do not contact; replies that match no defined category are still answered, using generic prompts.
• Language quality varies — the model is not equally fluent in every supported language, and capability varies with context and task.
• Also Show in Gmail Inbox works only with Reply's Chrome extension installed — see Chrome extension.
• Meeting booking requires a meeting tool connected first in Settings → Meetings, or a pasted third-party booking link.
• Sequence sends still obey mailbox, schedule, and daily limits — see Limits and When Reply sends.

FAQ

How do I generate a whole sequence from a prompt?

Create a sequence and select From magic ✨, then click Jason AI and enter a prompt describing your outreach goal. Review the generated first email — edit or regenerate it — and click Next. Jason generates the remaining steps from your prompt and the approved email, including suggestions for which channels to use. Every step stays editable before launch. The wizard then walks through People, Jason AI settings, Settings, Schedule, and Launch.

What makes a good prompt?

Decide the target audience, the message, and the desired outcome first, then write one specific prompt that states the offer and what you want back. Avoid vague or open-ended instructions. You can name a language, writing style, and tone of voice; leave them out and Jason generates default text. Documented prompt shapes include writing an email about a topic, suggesting subject lines, translating an existing email, generating several subject line variants, writing from a summary or from bullets, and capping length — for example, making an email shorter than 110 words.

How do I change the tone or length of text that is already generated?

Highlight the fragment you want to change and pick a command from the drop-down that appears: Ask Jason AI for a free-text instruction, Fix Grammar, Formality (Professional, Friendly, Neutral), Tone of Voice (confident, persuasive, witty, straightforward, empathetic, or custom), Translate, or Change Length. Highlighting matters — clicking the Jason AI button without a selection replaces the whole text with a new generation.

How do AI-drafted replies to prospects work?

When a prospect replies, the thread is categorized in the Inbox and Jason generates a response from the reply, the prior conversation, and your context — the Provide additional context box for regular sequences, or the connected knowledge base for AI SDR sequences. The result is saved as an AI Draft, where you can edit, regenerate, re-tone, translate, rate it with thumbs up or down, and send. Set Save as a draft or Send automatically per sequence; AI SDR sequences add a Mixed option driven by reply handling rules. See Reply management.

Can I tell the AI what to research before it writes?

In an AI SDR sequence, yes. Under Step 3 – Research agents you pick up to three personalization points — company facts, prospect background, industry context, a free-form custom instruction, or your own contact fields. The AI gathers them from public sources, leads the first message with the most relevant one, and saves the rest for follow-ups.

Does Jason AI learn from my edits?

Yes. Likes, dislikes, and edits in approval mode, message preview, and Inbox suggested replies are consolidated on a daily cycle into AI Learnings — plain-English rules you can read, edit, enable, disable, or write yourself. Each rule is tagged Outbound, Reply Handling, or both. Once you edit or author a rule, the AI stops modifying it.

Where does this end and AI SDR begin?

The writing assistant produces words on demand: a sequence from a prompt, copy for a step, a draft for a thread. AI SDR is the standing motion — it derives offers from your business, applies a playbook to every generated message, sources and scores contacts, personalizes per prospect, answers from a knowledge base, and re-engages. If you are writing the strategy and want help with the sentences, this page is the right one.

Related

• AI SDR — the full AI SDR motion; The AI SDR model explains the model
• Build an AI SDR — the workflow where generated copy, playbooks, and approvals come together
• Playbooks — reusable message-generation instructions, the durable form of a prompt
• Knowledge bases — what grounds AI replies in AI SDR sequences
• Reply management · Inbox · Process replies
• Create a sequence · Sequence steps · Templates and variables
• Meetings — the calendar side of meeting-intent handling
• Sequence design — what to ask the assistant for

Build with Reply

• REST API: docs.reply.io — check the reference for available AI and sequence operations
• MCP: agents.reply.io/mcp — agent access to sequences, inbox threads, and Jason AI configuration