TextWisely's answer

TextWisely is built specifically for macOS users who write a lot and don’t want to break their flow. Unlike browser-based tools or clunky extensions, TextWisely works natively across any Mac app – from Slack and Notes to Mail and Safari – without requiring you to copy-paste into ChatGPT or switch contexts.

It’s fast, always available via a shortcut, and designed with real-world writing tasks in mind – like replying to emails with full context, fixing grammar instantly, or changing your tone before sending a message. It doesn’t just polish your text – it removes the friction around writing.

In short: TextWisely brings GPT-quality writing help into your daily Mac workflow without getting in your way.

Emisar.dev's answer:

emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [

TextWisely's answer

TextWisely was born from a personal itch 🧩

⚠️ Sending numerous Emails and Slack messages daily, I found myself constantly switching apps and re-entering the same prompts into ChatGPT to refine my writing.

💡 This inspired me to create TextWisely to boost writing speed, reduce context switching, and improve quality with instant text actions: ☑️ Grammar corrections, ☑️ Email drafts, ☑️ Structured writing, ☑️ Tone changes, ☑️ Translations ...and more

👉 It's a native macOS desktop app – shortcut-heavy for power users, but also click-friendly for those just starting out.

🚀 Give it a try: https://textwisely.ai

Emisar.dev's answer:

Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.

TextWisely's answer

Most writing tools force you to copy, paste, and jump between apps – or lock you into a browser extension that only works in certain places. TextWisely is different.

It’s a native macOS app that works everywhere you write – Slack, Mail, Notes, Google Docs, you name it. Just hit a shortcut, and you can instantly rewrite, correct, or respond to text without breaking your flow.

You get: 🔄 No context switching – stay in the zone, ⚡ Super fast – opens instantly, runs smoothly, 📩 Email context support – attach threads, get smart replies, 🔒 Built for privacy – nothing is stored on our servers, ✍️ Natural tone control – adjust writing style on the fly

If you care about speed, fluidity, and staying focused while writing – TextWisely is built for you.

Emisar.dev's answer:

Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.

Emisar.dev's answer:

emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.

Emisar.dev's answer:

The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.

Emisar.dev's answer:

• Blitz.gg - game analytics for billions of matches and a pretty large infrastructure.