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Guides for working with AI agents.
Practical guides on Claude Code, local models, Missions and the everyday workspace, from five-minute tutorials to in-depth reads. Each one ends with something you can use.
Local or cloud AI: when to keep client data on your computer
Local vs cloud AI for client work: what a remote agent sends out, what a local model keeps on your computer, and a simple grid to decide task by task.
Read the guide →How to attach files to an AI agent chat and keep them with your project
How to attach files to an AI agent chat, keep them in the project folder, and know what local and remote agents read from PDFs, images and screenshots.
Read the guide →How to track Claude Code usage and cost by project
A 5-minute tutorial to see which project, client, agent and model consume your Claude Code tokens and budget, with charts and budget warnings.
Read the guide →How to run a local LLM on your Mac, without the terminal
A step-by-step guide to download and use a private local LLM such as Qwen, Gemma or Mistral on an Apple Silicon Mac, without the terminal.
Read the guide →How to delegate a goal to an AI agent, and keep the decision
Tutorial: describe a goal in Pandore Missions, approve the AI agent's plan and collect reviewed deliverables, with control over sensitive actions.
Read the guide →AI token costs explained: input, output, cache, and how to spend less
AI token costs explained: what input, output, cache read and cache write tokens are, why agents burn so much input, and simple habits to spend less.
Read the guide →Which local LLM fits your Mac? A guide by memory size
Which local LLM fits your Mac? Picks for 8, 16, 24 and 32 GB of memory, with download sizes, quantization in plain words and what local models do well.
Read the guide →How to run several AI agents on one project
How to run several AI agents on one project: call them with @ to form a team where each reads the previous answer, or run a saved team in parallel.
Read the guide →Plan a trip, a renovation or a side project with an AI agent
How to plan personal projects with AI: a trip, a kitchen renovation or a photo archive, with tasks on a board and an AI agent that knows the project.
Read the guide →A freelancer's workflow with AI agents: from first call to invoice
A freelance workflow with AI agents, step by step: prospect, deal, project, delivery, time and invoice, and what to delegate or keep for yourself.
Read the guide →Project memory: how to stop re-explaining context to your AI agent
Project memory for AI agents: why agents forget, what is worth remembering, and how to review, pin and correct what your agent keeps between sessions.
Read the guide →How to write a client proposal with AI, without invented numbers
How to write a client proposal with AI without invented numbers: let the model write, price from your day rate with a calculation, and check before sending.
Read the guide →How to review a project folder with an AI agent before delivery
How to review a project folder with an AI agent before delivery: a checklist, a read-only Reviewer brief, blockers vs warnings, findings turned into tasks.
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