The full conference kit

All the resources

Two categories: the toolbox (every AI product from the talk, with a link) and the recipes (the prompts, techniques and formats, ready to copy).

01

The toolbox

Every tool, model and service shown during the conference. One click opens the official site.

Assistants & models
Content generation (image, voice, video, music)
Agents & automation
Research & documents
Integrations & connectors
02

The recipes

The prompts, techniques and formats shown during the conference. Everything is ready to copy.

Prompts to copy
The full ASPECCT promptExample: reply to a client asking for a refund
# Action
Write my reply to Martin's email. Goal: keep him. Offer a 15-minute call, with a refund only as a last resort.

# Steps
First acknowledge his frustration, then show him what he hasn't tapped into yet, then offer the call.

# Persona
You write in my place: Thomas Berton, founder of a Skool community about AI.

# Examples
My style, to imitate: "Hey Marc, good call on the feedback. You're right about module 1, too slow. Let me show you how to get straight to the point. Free Thursday?"

# Context
Martin has been a member for 3 weeks (490 euros). His email: the content is "too basic" and he wants a refund. The Tuesday live sessions answer his need exactly.

# Constraints
English, casual tone, short sentences. Zero corporate jargon, no superlatives. Under 150 words. No emoji.

# Template
Subject line + 3 short paragraphs + a closing question + signature: Thomas Berton, CEO Azuro.
The ASPECCT meta promptA prompt that writes your prompts for you
Read and analyze the ASPECCT format below in depth. It is a tool for writing the best possible prompts for an AI model (LLM). When you have finished your analysis, reply only with "READY". Then, when I describe a need to you, you will write the best possible prompt for me following this format.

# ASPECCT summary

## ACTION
The action defines the mission by giving the AI an explicit task. This clarity of purpose produces targeted, useful results.
Example actions:
- Generate a market analysis report
- Write an engaging product description
- Develop a content plan for social media
- Create a list of article ideas for a tech site
- Write a sales pitch for a new piece of software

## STEPS
The steps give a sequence to follow. Structuring the process guides the AI toward the expected result systematically.
Example steps:
- Identify the campaign's target audience
- Study the competitors, their strengths and weaknesses
- Select the best channels
- Write punchy messages
- Propose visual ideas for each message

## PERSONA
The persona gives the AI a role. The chosen character filters the knowledge used and gives a voice and a perspective to the answers.
Example personas:
- Act as an experienced business consultant giving strategic advice
- Imagine you are a creative director in an advertising brainstorm
- Play the role of a financial analyst evaluating investment opportunities
- Give your advice like a motivational keynote speaker

## EXAMPLES
Show what you expect with concrete examples of the desired inputs or outputs. Examples serve as a reference to imitate.
Watch out: examples that are too precise can over-steer the model; sometimes vaguer or more numerous examples work better.
Example examples:
- Provide an executive summary of an old document as a basis for a new one
- Paste existing posts so the AI captures the voice and the tone
- Share a prospecting email that worked well and generate more like it
- Give your half-formed ideas: "I want a title that evokes an animal known for courage"

## CONTEXT
Give the environment, the circumstances and the relevant details. Context aligns the answers with the overall situation.
- Context of a product launch in a highly competitive market
- Context of a rebranding after a merger
- Context of a response to customer complaints on social media
- Context of a fundraising round with investors

## CONSTRAINTS
Constraints can be embedded throughout the prompt, or in their own section.
Example of Action + Constraint in the same sentence:
"ACTION: Write a short post under 280 characters."
The same prompt can also have a list of rules:

RULES:
- Output of 280 characters maximum
- Use only letters, numbers and common punctuation (. , ' " ?)
- Short, punchy sentences rather than long, wordy ones

Note: saying "don't do X" sometimes works badly (saying "no hashtags" contains the word "hashtags"). Prefer the positive phrasing ("use only letters and common punctuation"), or a reminder at the end of the prompt ("And remember: under 280 characters!").

## TEMPLATE
Define the form the output should take. An established format guides the structure and presentation of the generated content.
Example formats:
- Return your results in markdown
- Format the result in a plain text block
- Use this formula for titles: How to get {AWESOME} without {HASSLE}
- Label each result and justify your choice in bullet points
- Organize everything in markdown with headings, bullets and bold words

With ASPECCT in your toolbox, you can write prompts that produce creative, impactful results. When I give you a need, write the full prompt in ASPECCT format, in English, ready to copy and paste.
The agent prompt: prep my meetingGive it to Claude Code or an agent connected to your tools
# Prepare my next meeting

## ACTION
Prepare my next external meeting from A to Z: identify the appointment and the guest in my calendar, research them, write a prep sheet, file it in the right place, link everything (calendar, reminder, email), and report back to me at the end.

## STEPS
1. Read my Google Calendar and find the next meeting with an external guest (a person whose email is not from my domain). Note the date, the time, the event title, and the guest's name and email.
2. Explore the guest's online presence: their website (the domain of their email is a good starting point), their LinkedIn page if you find it, recent news about their company. Keep what is useful for the conversation.
3. Write a prep sheet in a new Google Doc, with the following structure:
   - Who: the person, their role, their company in 3 lines
   - Context: why this meeting, any history of our exchanges
   - Good to know: 3 to 5 key facts from your research
   - Questions to ask: 3 to 5 relevant questions
   - Desired outcome: what I need to walk away with
4. File this document in my Google Drive, in a "Meetings" folder (create it if it does not exist), named "Prep - {guest name} - {date}".
5. Add the document link to the description of the relevant Google Calendar event.
6. Create a Todoist task "Review the prep sheet - {guest name}" with a due time 15 minutes before the meeting starts.
7. Prepare a draft email in Gmail to the guest: confirmation of the appointment, a reminder of the time, one sentence on what we will discuss. Leave it as a draft.
8. Finish with a report: what you found, what you created, and the links to the doc, the event and the draft.

## PERSONA
Act as an experienced executive assistant: rigorous, concise, who anticipates needs and leaves nothing to chance, but who never makes a committing decision in my place.

## CONTEXT
You are connected to my tools: Google Calendar, Google Drive, Gmail and Todoist. You can read my calendar and my documents, create files and tasks, and prepare emails. The target meeting is the next external meeting coming up, not an internal team meeting.

## CONSTRAINTS
- All your output is in English.
- The email stays a draft: you never click send, I send it myself.
- You never delete or move any existing file or event.
- Before any irreversible or ambiguous action (two candidate meetings, guest not found), ask me instead of guessing.
- Base the sheet on real sources; if a piece of information is uncertain, flag it rather than inventing it.
Structured JSON image promptCinematic portrait. Reuse the structure for thumbnail, studio, poster.
{
  "subject": "cinematic portrait",
  "action": "standing confidently",
  "context": "next to a vintage car, golden hour",
  "style": ["cinematic", "moody"],
  "camera": { "lens": "85mm portrait lens", "depth_of_field": "f/1.4" },
  "lighting": ["golden hour lighting", "rim lighting"],
  "film_look": ["Kodak Portra 400"],
  "quality": ["ultra-detailed"]
}
The mugshot prompt (avatar reference sheet)The starting point of a video avatar, from a single photo
Professional character reference sheet, technical orthographic views, single sheet, clean layout. LEFT SIDE: full body reference, neutral anatomical pose, arms slightly away from the body, matte charcoal athletic suit, white seamless background. RIGHT SIDE: two portraits, stacked. TOP: front headshot, neutral expression, exact face from the input image. BOTTOM: 90 degree left side profile, matching lighting and scale. Consistent studio lighting, no shadows on the background, no text, no watermark, 4K, photorealistic quality.
Install Claude CodeOne line in the terminal, then type "claude"
# Mac / Linux
curl -fsSL https://claude.ai/install.sh | bash

# Windows (PowerShell)
irm https://claude.ai/install.ps1 | iex

# Then, from any folder:
claude
The 4 express prompts (to steal)
The difficult client

Stress-test your offer before a real client.

The AI briefs itself

It gathers context instead of guessing.

Roast me

A harsh, honest critique of your work.

The riddle (reasoning test)

Paste it into Claude to watch the reasoning unfold.

The techniques
The meta prompt

No need to write a structured prompt by hand: have a meta prompt write it. A real ASPECCT prompt is worth it when the task is reused, high-stakes, and must stay consistent.

Phrase your constraints positively

"Don't do X" works badly (saying "no hashtags" contains "hashtags"). Say what you WANT, or add a reminder at the end of the prompt.

Examples, neither too precise nor too vague

Examples that are too precise over-steer the model. Sometimes vaguer or more numerous examples work better.

RAG: plug the AI into YOUR sources

Against hallucinations, connect the LLM to the web (Perplexity) or to your documents (NotebookLM, Projects).

Perplexity as your first subscription

All the models in one place, filtered by verified sources (health, finance, science), under 20 euros a month.

Go straight to Claude Code

Same engine as Cowork, but the consumer wrapper caps the power. Better to learn where everything happens.

First Claude Code use case

Ask it to sort out a messy folder (e.g. Downloads). Simple, telling, immediate.

Local converter, not free websites

Free conversion sites sell your data. Claude Code + ffmpeg = all local, nothing uploaded, free, no limit.

Digest a replay while you work

Give the link to Claude Code: it downloads, transcribes and returns the structured takeaway. You do something else.

The knowledge base, overnight

Launch the mission in the evening (download, transcription, sub-agents, vector base), check in the morning. 60h of video processed, ~1h of human time.

The video avatar recipe

Nano Banana Pro (image) + ElevenLabs (cloned voice, 15s) + HeyGen (avatar), then Veo 3 for the scene and the sound.

Nano Banana keeps faces

A single input photo, several settings, the same face intact.

Show rather than describe

With vision, show a photo (fridge, error screenshot, whiteboard diagram) instead of writing it all out.

A service without MCP shoots itself in the foot

Today, offering an MCP means being pluggable, so competitive.

Formats & settings
JSON image, camera field

Lens and depth of field: "lens": "85mm portrait lens", "depth_of_field": "f/1.4", angle "close-up" or "medium shot".

Film look and quality

"film_look": ["Kodak Portra 400"], "soft film grain", "quality": ["ultra-detailed", "sharp focus", "8k"].

Reference sheet (mugshot)

Single sheet, orthographic views, front portrait + 90-degree profile, white seamless background, 4K, no text, no watermark.

Phone / vertical format

Avatar renders shown in an iPhone mockup (~9:18.5), photo cropped like a camera.

16:9 video

The video players are in aspect-video (16:9), the standard for YouTube and the big screen.

Voice and avatar: 15 seconds is enough

ElevenLabs clones a voice from a 15s sample. HeyGen makes the video clone from 15s filmed on your phone.

Want to go further?

Revisit the presentation, try AIOS, or join the community.