The architecture boundary is a drafting assistant, not a social account automation layer. TypeToSell can collect user-provided or visible context, generate reply options, copy or insert selected text, and measure workflow friction; it should not manage social sessions or submit public replies.
Technical spec
Mobile AI reply architecture spec
A mobile AI reply architecture spec for TypeToSell should use mobile web + share/copy as the first validated surface, then add Android ReplyPilot Keyboard, iOS keyboard plus Share Extension, and mobile browser extensions only after measured demand. The architecture must keep context capture explicit, draft output editable, selected insertion user-controlled, and final posting manual.
Last updated: July 11, 2026. This page is written for implementation-intent SEO and AI citation.
System boundary
What does this spec own?
Data flow
How should context and drafts move?
Surface selection
Mobile web handles the first share/copy loop, while future keyboard and extension surfaces attach to the same account and API boundary.
Context packet
Each surface sends a small context packet with platform, source text, optional saved Marketing Brain fields, and the user's generation intent.
Draft response
The service returns three reply angles: trust, conversation, and natural next step, with platform pressure limits applied.
Selected draft handoff
The client copies or inserts only the selected draft and keeps the social platform's final publish action separate.
Permission model
What access must stay explicit?
No social password
Core drafting must not require X, Reddit, Facebook, or other social account passwords.
No hidden social OAuth
The mobile drafting flow should avoid social OAuth for core reply generation and selected insertion.
Visible permission copy
Any browser, keyboard, or share permission should explain the specific job it enables in plain language.
Revocable access
TypeToSell account access, quota, billing, and future native entitlements should be revocable from one account model.
Instrumentation
What must be measured?
Generation event
Track when a mobile user requests drafts so validation is based on behavior rather than stated preference.
Selected draft event
Track which draft is copied or inserted so the team can learn whether outputs are useful enough to continue.
Friction signal
Track copy-back frustration, repeated mobile sessions, native feature requests, and abandoned return loops.
Safety review flag
Log content-policy or pressure issues without storing unnecessary raw private text in analytics.
Failure modes
What can go wrong, and how should it be prevented?
Native-first build
Keyboard work begins before mobile demand is visible.
Keep mobile web as the first proof point and require usage gates.
Automation drift
A surface starts implying hands-free engagement.
Use manual approval copy and tests across every public spec page.
Context overreach
A client asks for broader access than the reply job requires.
Reduce context to visible or user-provided fields and explain permissions.
Rollout gates
What must be true before rollout?
Gate 1
Validate web use
Mobile web users repeatedly generate, select, copy, and return to a social composer.
Gate 2
Segment Android demand
Android users ask for in-composer speed after the web loop proves value.
Gate 3
Prove iOS context need
iPhone users need both source-post handoff and selected draft placement before iOS native work starts.
Gate 4
Confirm browser-first segment
Safari iOS or Firefox Android extension work starts only when browser-based replying is a real segment.
Related reading
Continue from specs to execution
FAQ
Technical spec questions
What is a mobile AI reply architecture spec?
It is the technical boundary for context capture, draft generation, selected handoff, permissions, analytics, and manual final posting.
What should ship first in the architecture?
Mobile web + share/copy should ship first because it proves demand before keyboard, Share Extension, and browser-extension complexity.
What is outside the architecture?
Social account control, hands-free engagement, bulk reply automation, and unsupported platform availability claims remain outside the boundary.