CLASS 13July 7 · AI Strategic Foresight

Class 13: AI Strategic Foresight. "AI does the data journey. You are the judgment."

Taught byAngella TapéSVP Group Strategy Director, Havas

The class in brief

Guest strategist Angella Tapé taught the three-canvas framework her Havas team uses on client work: category first, human truth second, positioning last, with a custom GPT doing the research legwork.

The class ran the full framework live on a Busch NA brief. After this page you will be able to direct AI like a junior analyst on a real brief, while keeping the judgment yours.

Why this matters

Half of all TV advertising produces no emotional response at all. Strategy decides which half your work lands in.

That claim comes from System1's ad-testing data, which Angella opened with. Her framework is the answer to it: three canvases, worked in order, with AI as the analyst and you as the judge. And always the category before the product: start with the product and, in her words, "I will fail, force-feeding people."

52%

of UK TV ads produce a completely neutral response. "I feel nothing, I do nothing." (US: 47%. B2B is worse.)

2.3x

brand attachment for the most adaptable brands compared to the least. From System1's "Age of DULL" research, the Cannes Lions ad-effectiveness data Angella cited.

The framework

The three canvases

Category Creationfrom conformists to creators

The longest stage on purpose. What market am I actually in? What is the paradigm, and what shift is coming? Where are the gaps? The product stays out of the room for the whole pass.

Human Truthfrom interruption to meaning

Who are the customers, why do they behave that way, and what single insight sits under it all? Brands that win align to me, my community, or the world.

Brand Positioningborrow equity, or build it

Borrow from an adjacent category, or build from scratch the way Liquid Death did. Step away from the head-to-head mindset and the space opens. Then be single-minded: pick one.

The exercise

Working the Busch NA brief live

The brief

Fuel new growth for Busch Light through its non-alcoholic offering.

Light beer is a saturated category, and non-alcoholic drinkers are a growing audience. The ask: use AI deep research to evolve Busch NA's positioning, building on the brand's core equity (Mountains of Busch, the great outdoors, and midwestern values), then identify a growth audience and define new rituals for how Busch NA gets used.

The brief slide appears below, in From the board

Open the class Miro board (opens in a new tab)

How the exercise ran

Five steps, from her workflow slide.

Upload the data pack.
Let the agent run deep research.
Do the thinking and strategizing yourself in Miro.
Upload your canvases back to the agent.
Finish by letting AI challenge the positioning to sharpen it.

Category first, product last

The first canvas bans the product from the room: what market is this, what paradigm, what shift is coming, where are the gaps. Start with the product and you end up force-feeding people.

A market for people who don't like beer

One classmate, who doesn't drink and doesn't like the taste of beer, asked the analyst how big the market is for people who want the ritual without the taste. It came back with real segments, and the class watched a personal observation turn into a researchable audience in minutes.

Pushing past the obvious occasions

Another run kept getting camping, tailgating, and boating back from the model, all summer, all weekend. The fix was a direct order: bring it into the days of the week. The lesson inside it: the model defaults to the most photographed version of an audience until you push it.

Another run left the brief entirely

Same canvases, aimed at repositioning a church in Madison County. The framework held anyway. That is how you know it is a framework and not a template.

From the board

What the class made in Miro

The three-canvas framework, from her deck

The closing recap slide: the three-canvas framework with its supporting visuals — The recap: all three canvases with their visuals

The Busch NA AI Brief slide: objective and ask — The Busch NA AI brief

Methods and prompts

Five methods to take with you

METHOD 01 part of: keep the judgment human part of: reject the first draft

Act as the boss of a junior analyst

Treat the model like a bright junior: direct it, redirect it, and ask for conclusions instead of accepting a data dump.

Where it came fromAngella's working doctrine for the whole framework: AI does the data journey and you are the judgment, so she directs the model the way a strategist directs a junior analyst, thanking it, redirecting it, and demanding synthesis.Use it whenYou are working a research-heavy brief and the model keeps handing you raw material instead of a synthesized answer you can judge.

Working prompt

Synthesize everything above into exactly 2 categories of opportunity. Table format. End with one short question for me. Do not ask anything else.

You will know it worked whenthe model hands back exactly two categories of opportunity in table format, ending with one short question instead of several.

METHOD 02 part of: reject the first draft

Ask for what's missing

The idea usually lives in what the research does not say. Ask for the missing data, not more of the found data. Her words: "Tell me what does NOT exist. From there you get the idea."

Where it came fromHer gap-hunting move from the live Busch NA exercise: ask the model what does not exist and what data is missing, because the idea usually lives in the gap rather than in the summary.Use it whenThe research summary looks complete but nothing in it sparks a direction worth pursuing.

Working prompt

Based on this research: tell me what does NOT exist in this market, and what data I am missing. List the absences, not the findings.

You will know it worked whenit lists real absences in the market instead of restating what the research already found.

METHOD 03 part of: structure your ask

Give it an executive's job

Renaming the model's role from assistant to executive changes tone, depth, and brevity everywhere at once. One word doing the work of a page of formatting rules.

Where it came fromAngella showed that renaming the GPT's role from assistant to executive changes tone, depth, and brevity globally, which is cheaper than piling on formatting instructions.Use it whenThe model's answers are wordy or shallow and you want a sharper register without writing ten format rules.

Working prompt

From now on you are an executive strategist, not an assistant. Max 5 sentences per answer, tables where useful, no jargon, answer your own research questions instead of asking me. Confirm and continue.

You will know it worked whenits answers get sharper and shorter, staying under five sentences with no jargon, without you re-explaining the rules.

METHOD 04 part of: structure your ask

Say what you want rather than what you do not

Negatives confuse it, so she keeps a full list for reining it in.

Use an executive style.
Keep it to five sentences max.
Use table format.
Skip the jargon.
Stop asking me questions.
Answer your own research questions.

Where it came fromHer hard-won prompting rule from years of client work: negatives confuse the model, so every instruction names the behavior she wants instead of the one she is banning.Use it whenYou catch yourself writing do-not instructions and the model keeps doing the banned thing anyway.

Working prompt

Rewrite your instructions to yourself as positive directives only: what you WILL do, in what format, at what length. Then follow them.

You will know it worked whenit rewrites its own instructions as positive directives and then actually follows them, instead of slipping back into a list of things not to do.

METHOD 05 part of: context beats prompts

Build the tool rather than the chat

A workflow you run twice deserves to be a tool. Know the workflow in your head first, then write it as strict, numbered steps with a named role. Custom GPT or Claude Project, either way the magic is the prompt.

Where it came fromShe opened the hood on her Strategic Foresight GPT: a name, a role, and long, strict, sequential step instructions, locked so students could not edit them. The magic is the prompt, and it is portable to Claude Projects.Use it whenA workflow you run more than twice a month still starts from a blank chat every time.

Working prompt

Help me turn this workflow into a reusable assistant. Here are my steps: [list them]. Rewrite them as strict sequential instructions with a named role, an intake step, staged framework steps, and a fixed output format, always addressing the user.

You will know it worked whenyour steps come back as strict, numbered instructions with a named role, ready to paste into a custom GPT or Claude Project.

Deeper detail

Inside her custom GPT

She opened the GPT and showed the class what's inside. Know your workflow in your head first, then write it as strict, numbered steps with a named role, always addressing the user. The same thing works as a Claude Project. Her words: the magic is the prompt, and it moves between tools.

1 · NAME + ROLE

Who the tool is

Stated like a job description.

2 · INTAKE

What it collects first

Everything it asks the user for before any work starts.

3 · STEPS + OUTPUT

The framework, numbered

Strict sequential instructions and a locked output format, so every run ends the same shape.

Open the Strategic Foresight GPT (opens in a new tab)

The shelf

Tools and references

Tools that night

The Strategic Foresight GPT (the class keeps access)
The three canvases in Miro (captures above)
Claude Projects, the same idea built in Claude
Codex, used to refactor a human-readable prompt into machine steps

Cases she mentioned

BTS: the community that never gives up on you
Liquid Death: brand equity built from nothing
McDonald's Taiwan: pit stops for cyclists
Norway's macho non-alcoholic beer, now #1 with new mothers

Every frame from this class

18 captures, in order. Click any one to see it full size. Recovered from the raw class archive and cropped to the slides; the board exports above remain the workshop's own artifacts.

A slide lists four class objectives: Understand, Define, Construct, and Apply. — A slide lists four class objectives. Learn the strategic foresight framework, understand where AI fits in research, build a custom GPT, and apply the skills to redefine a category.

A slide outlines the class schedule across intro, define, construct, and apply segments. — The class agenda breaks the ninety minute Construct block into three timed passes, one for each canvas, category creation, human truth, and brand positioning, before a share out and closing conversation.

A chart shows the percentage of ads that produce a neutral emotional response in UK and US audiences. — Angella cited System1 ad testing data showing over half of all TV ads, and an even higher share of B2B ads, produce a neutral I feel nothing response from viewers.

Two stat slides: roughly 40 percent of new product launches fail from poor market fit or weak differentiation, and brand attachment runs 2.3 times higher for the most adaptable brands than the least adaptable ones.

A slide titled Immersion lists three preparation topics for the exercise. — The Immersion phase of class covers the strategic foresight framework itself, the Busch NA brief and its desired outcome, and how to orient the AI toward deep research.

A split slide pairs the word Data on a crumpled paper background with the word Judgement on a human silhouette background. — Angella's core doctrine: AI runs the data journey, but judgment, meaning style, experience, and feel, stays with the human strategist.

A slide shows the Busch NA brief with objective and ask text next to a can of Busch NA beer. — The in class exercise brief: grow Busch Light's non-alcoholic offering by using AI-deep research to find a new growth audience and new rituals for current Busch NA drinkers.

The Construct exercise gives students thirty minutes to refine the category creation canvas, twenty for human truth, and ten for brand positioning, in that order.

A horizontal slider diagram runs from Category Conformist to Category Creation, labeled Marginal to Transformational. — A slider diagram frames the shift from Category Conformist to Category Creation as a move from marginal to transformational value.

The Category Opportunity prompt framework walks the AI through the category paradigm, why it exists, where the brand is failing, and where it can play to win, ending in a short list of white space opportunities.

A slide lists five sequential workflow steps from uploading data to AI challenging the human. — The five step workflow: upload data, let the GPT synthesize and do deep research, think and strategize by hand in Miro, upload the Miro canvases back to the GPT, then have the AI challenge the human to sharpen the positioning.

A cone shaped diagram expands from Category through Me, My World, and The World. — A cone diagram shows how a future-proof brand widens beyond the category itself into Me, My World, and The World, versus a traditional brand that stays narrow.

The Central Insights prompt framework asks who the target consumer is, how the segment breaks down, what their attitudes and behaviors are, and why, converging on one actionable insight.

A blank worksheet lists four Human Truth questions next to empty answer boxes. — A blank Human Truth worksheet for the exercise, with rows for who the target consumers are, who the core consumer is, their attitudes and behaviors, and why they think or behave that way.

A closing line for the Brand Positioning stage: step out of a brand versus brand mindset to drive a superior experience instead.

The Crafting the Positioning framework asks what the brand's differentiator is, how it should be told, and why customers should care, ending in one differentiated brand promise.

The three canvas structure of the AI Strategic Foresight framework: Category Creation, Human Truth, and Brand Positioning, each shown with its own visual icon.

A slide reads strategy leads AI follows. — The framework's closing principle, restated in five words: strategy leads, AI follows.

Class 13: AI Strategic Foresight. "AI does the data journey. You are the judgment."

Why this matters

The three canvases

Category Creationfrom conformists to creators

Human Truthfrom interruption to meaning

Brand Positioningborrow equity, or build it

Working the Busch NA brief live

Fuel new growth for Busch Light through its non-alcoholic offering.

How the exercise ran

Category first, product last

A market for people who don't like beer

Pushing past the obvious occasions

Another run left the brief entirely

What the class made in Miro

Five methods to take with you

Act as the boss of a junior analyst

Ask for what's missing

Give it an executive's job

Say what you want rather than what you do not

Build the tool rather than the chat

Inside her custom GPT

Where this class connects

Tools and references

Tools that night

Cases she mentioned

Every frame from this class