Ask AI about a photo or screenshot and check what it read
Ask AI about a photo or screenshot and get an answer you can check: prepare the image, ask for a transcription first and keep private details out.
How to auto-delete old AI chat history
Set AI chats to delete by age or by count, save the conversations that matter first, see what auto-delete leaves behind and check that the rule works.
Add calendar events from a message or email with AI
Turn an email, invitation or chat message into calendar events with an AI assistant, check dates and time zones, and approve each event before it’s saved.
Claude Code context window full? Compact, clear or restart
When Claude Code or another coding agent runs low on context, choose between compacting, clearing and a new session, and keep decisions in a handoff.
Get notified when a coding agent finishes or needs approval
Get an alert when a coding agent finishes, fails or waits for your approval, on your computer or your phone, and test it before you leave your desk.
Keep your Mac or PC awake while a coding agent runs
Stop a Mac or Windows PC from sleeping while a coding agent runs a long task, using caffeinate or the sleep settings, then put your settings back afterwards.
Use Ollama from your phone over home Wi-Fi or a VPN
Let a phone app use an Ollama model on your computer: open Ollama to your home network, find the base URL, test it and keep it off the internet.
How to protect yourself from prompt injection in AI assistants
Limit what your AI assistant can do with emails, web pages and files, keep approvals on, test your setup safely and know what to do if it’s steered.
How to undo changes made by an AI coding agent
Undo an AI coding agent’s edits safely: restore one file, discard what it left uncommitted or revert its commit, without losing your own work.
How to write an AGENTS.md file for coding agents
Write a short AGENTS.md with setup and test commands, rules and boundaries, make Claude Code and Gemini CLI load it, and test it with a small task.
How to fact-check an AI answer with a claim-and-source table
Check each important AI claim against its source, separate inference from evidence, resolve conflicting dates and preserve uncertainty before using an answer.
Turn meeting notes into action items without inventing commitments
Use pasted meeting notes in Mono to extract grounded tasks, owners and deadlines, preserve open questions and prepare a clear handoff for review.
Review AI-generated code changes before accepting the result
Check scope, file diffs, staged changes, test evidence and unresolved risks in Mono Code, with a practical review template and read-only Git checks.
AI tool permissions in Mono: what to check before allowing
Understand Mono chat policies, MCP tool overrides and coding-agent approvals, then review the action, target and scope before granting access.
MCP connected but not working? Troubleshoot Mono by failure stage
Find whether a Mono MCP problem comes from transport, authorization, capability discovery, model support or a tool call, then verify one harmless operation.
Mono, TypingMind, or Jan: choose an AI app by your actual workflow
Compare Mono, TypingMind, and Jan with a practical task checklist covering device fit, local models, integrations, portable output, and availability.
Connect a custom AI model: endpoints, keys and fallback
Configure an OpenAI-compatible model in Mono, test the connection, understand fallback and separate chat from tool support.
Create an AI task from a prompt: write it, check it, change it
Describe a job in plain words and Mono sets it up as a task. Write a request you can check, read what Mono built, check the first run, and change one thing at a time.
Export an AI chat to Markdown and keep the useful context
Save Mono chats and coding conversations as Markdown, check what the export includes, and prepare a portable handoff without mistaking it for a backup.
How to install and test an AI skill before relying on it
Review an AI skill's source, permissions and requirements, run a small acceptance test and check changes before updating.
How to review, edit and delete AI memories
Keep AI personalization accurate with a practical memory audit, careful imports and clear distinctions between memory, chat history and Secret Mode.
Markdown notes across devices: a practical Vault workflow
Capture reusable Markdown notes, organize files and check offline changes before moving from your phone to another device.
MCP vs ACP vs AI skills: choose the right connection
Use concrete examples to distinguish model endpoints, MCP tools, ACP coding agents, reusable skills and scheduled tasks.
Why a scheduled AI task is not running in Mono
Diagnose missing task runs, local scheduling, time changes, failed steps, and notification issues in Mono with a simple manual test.
Secure Mono after losing a device: access, linking, and reset
Learn how Mono app locking, device removal, and sync reset differ, and what to check before replacing a lost device or changing encryption keys.
AI privacy: what encrypted sync protects
Separate device storage, encrypted sync, model processing, connected tools, and file storage when choosing an AI assistant.
How to build a reliable personal AI automation
Turn a recurring task into a useful automation: define the result, test missing data, choose a schedule, and diagnose failures before retrying.
How to work with coding agents from your phone
Plan a remote coding workflow with a desktop host, mobile approvals, readable diffs, and a reliable way to reconnect.
How to connect MCP tools on your phone and desktop
Understand remote and local MCP connections, choose permissions, test one tool, and diagnose authentication or connection problems.
Pay-as-you-go AI costs: compare credits, tokens and subscriptions
Estimate AI usage costs with a worked example, understand separate provider bills, and compare credits with a subscription.
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