Writing / Copywriting

Build you a personal assistant agent for fun and profit

A practical guide to building an always-on personal AI assistant with Pi, OpenCode Go, Telegram, Resend, Hetzner, Tailscale, GitHub, and Nginx.

Clear25/30
Useful22/30
Specific15/20
Complete15/20
Build you a personal assistant agent for fun and profit screenshot

Why it was accepted

The page clearly targets AI builders and explains how to assemble a working personal assistant agent. The snapshot shows concrete implementation steps, named tools, and a full build path from a remote CLI agent to Telegram access, tmux, Termux, Tailscale, and voice support. That is enough evidence for a useful public listing.

Weakness

The crawl cuts off before the later steps are fully visible, so visitors cannot tell exactly how the Telegram, domain, email, and voice pieces are finished or what the final setup looks like end to end.

Review status

49 days ago #1003 → 0

Last evaluated 49 days ago. Current rank #1003. Holding steady in the rankings.

Score history

77

Related listings

Hillnote screenshot
#52 Hillnote
89

Writing / Copywriting

Hillnote is a local-first writing workspace for notes, documents, databases, and plans, with AI features that run on-device and optional cloud models. It supports markdown files on disk, sync across devices, and direct use by agents through MCP and CLI access.

ITransBook screenshot
#135 ITransBook
88

Writing / Translation

Local-first desktop app for AI document translation and side-by-side comparison, with support for multiple engines and cloud APIs.

SEOAgent screenshot
#194 SEOAgent
87

Writing / Copywriting

SEOAgent is an SEO workflow tool for coding agents like Claude Code, Cursor, and Codex. It audits sites locally, suggests evidence-backed updates in the cloud, and syncs approved changes back into the repo.

ForthWrite screenshot
#198 ForthWrite
87

Writing / Email Assistants

ForthWrite is a Chrome extension for Gmail that learns a user’s email voice from sent messages and edits. This page explains its retrieval-and-feedback loop in detail, including pgvector-based RAG, edit-distance scoring, a phrasing miner, and the stack behind the product.