REPLYLATER AI

Arpita Kashid — Mon, 26 Oct 2026 09:04:49 +0000

Inbox overflowing? Deadlines hiding in paragraphs? Yeah, we're not doing that anymore.

Meet ReplyLater AI — a Gmail assistant powered by Gemma 3 4B, running locally through Ollama.

It turns email chaos into structured, actionable insights.

AI Summaries — TL;DR, but actually useful.

Urgency Detection — High / Medium / Low.

Deadline Extraction — No more surprise due dates.

Action Items — Emails → actionable tasks.

Smart Replies — AI drafts, humans approve.

Google OAuth — Personal Gmail inboxes with separate user sessions.

How I Built It

01 / Connect. Integrated Gmail API with Google OAuth and separate user sessions.

02 / Infer. Used Ollama to run Gemma 3 locally, analysing selected emails without a paid model API.

03 / Structure. Enforced Pydantic-validated JSON with summaries, urgency, deadlines, action items, and suggested replies.

04 / Refine. Added a second-pass check when the model potentially misses deadlines or tasks.

05 / Ship the UI. Built a minimal React dashboard with an editable reply workflow. Nothing gets sent automatically.

Gmail → FastAPI → Gemma 3 (Ollama)
↓
Structured JSON
↓
Summary · Urgency · Tasks
Deadlines · Reply

Gemma gave me control over inference, prompts, output validation, and experimentation — all running locally.

No dependency on a proprietary inference API. No need to transmit email content to an external AI provider for local analysis.

The core of ReplyLater AI is Gemma 3 4B, running through Ollama and integrated with a Python FastAPI backend.

Here's how the AI pipeline works:

Ollama: Runs Gemma locally through its /api/chat endpoint.

Gemma 3: Analyses emails, detects urgency, extracts deadlines and action items, and drafts replies.

Structured Inference: Uses JSON schema constraints and Pydantic validation for consistent outputs.

Retry Logic: Triggers a second analysis pass when important deadlines or tasks might have been missed.

Privacy-Aware Workflow: Email analysis runs locally, without sending content to a third-party AI inference API.

A long email with three requests and a deadline buried in paragraph five?

Before: Read → Reread → Decode → Draft.

With ReplyLater AI: Select → Analyse → Review → Done.

No made-up productivity statistics. Just fewer repetitive steps between reading an email and knowing what to do.

Best Use of Gemma 3 which powers the core email intelligence: summarization, classification, task extraction, and reply generation.