rebel evolve · strategic AI advisory
Make AI decisions you can defend.
For the decisions you can't delegate: which AI tools deserve your budget, what your roadmap should be, where the risks are hiding, and how to make adoption stick with the humans who have to live with it. Strategic advisory for founders, executives, and the leaders their teams look to.
Advised by Deiadora Blanche — the researcher who proposed, built, and shipped Airbnb's first internal AI model, still in active use, and built Coursera's content design system, adopted across four product verticals.
one session · a written decision brief in your inbox within 48 hours
the deciding problem
The AI problem in most companies isn't the technology. It's the deciding.
You're not short on AI information — you're drowning in it. Vendors pitching, teams experimenting in unsanctioned tools, a board asking what the AI strategy is, and a nagging sense that "move fast" and "wait and see" could both be the expensive mistake.
Most AI advice makes this worse: tool tutorials when you need judgment, hype when you need a risk assessment, a forty-slide deck when you need a decision.
What moves you forward is an hour with someone who has shipped AI inside companies like yours — and has no tool to sell you.
start here
One session. One decision, worked to a conclusion.
The AI Advisory Session — 60 minutes · $500. A structured working session on the decision actually in front of you: which tools or vendors deserve a place on your shortlist. Whether to build, buy, or wait. Where AI genuinely saves your team time — and where it quietly creates risk. The first version of your AI policy. The adoption effort that isn't landing.
- Pre-session strategy questionnaire — so we spend the hour deciding, not explaining.
- The 60-minute working session — your decision, worked to a recommendation.
- A written decision brief within 48 hours — the recommendation, the risks named, your next three steps. Ready to forward to your leadership team.
- Seven days of async follow-up — for the question you think of on Thursday.
what you leave with
Clarity
A short list instead of an infinite one. A recommendation instead of a survey of options.
A defensible position
The reasoning in writing, risks named — ready for your board, your partners, or your own second-guessing at 2am.
Reduced risk
The failure modes of your plan identified before your customers — or your general counsel — identify them for you.
Momentum
Your next three steps, in writing, sized to your team's actual capacity.
the advisor
Advice from someone who has shipped it.
Most AI advisors have opinions. Deiadora Blanche has systems in production.
- Airbnb — proposed, built, tested, and launched Airbnb's first internal AI model for its help center: strategy, training data, evaluation criteria, A/B testing, rollout. Still in active use.
- Coursera — built and led the content design system and quality standards adopted globally across four product verticals — learners, enterprise, institutions, government.
- Fortune 100 & 500 teaching — trained hundreds of practitioners in AI content strategy through the UX Content Collective (2022–2026).
- Published AI evaluation research — The Transmutation Gap: Cross-Lingual Coherence Evaluation in Large Language Models (Apart Research, 2026).
- Proprietary research — thirteen years documenting how people and organizations actually move through change: 264 mapped patterns, becoming the Quantum Magic API. It's why this practice is unusually good at the part of AI adoption that fails most often — the human part.
The full record lives at deiadora.com.
how it works
01 · book & brief
Pick a time, pay, and complete the strategy questionnaire — fifteen minutes that sharpen everything.
02 · the working session
Sixty minutes on your decision. Not a lecture, not a demo — a working session with an advisor who has shipped this before.
03 · the brief
Within 48 hours: your written decision brief — recommendation, risks, next three steps. Then a week of async access for follow-ups.
By the end, you don't just have an answer — you have the reasoning. That's the point.
ways to work together
advisory session
One decision, worked to a recommendation.
- 60-minute working session
- written decision brief in 48h
- 7 days async follow-up
$500
most popular
decision sprint
One significant decision — tool selection, roadmap, adoption plan — worked to completion.
- 3 × 90-minute sessions
- cumulative written roadmap
- async access between sessions
$1,650
advisory retainer
Standing access for leaders executing an AI agenda.
- 2 sessions per month
- async access throughout
- living strategy document
from $2,500/mo · 3-month min.
Half-day strategy intensives ($2,500) and full-day executive engagements ($5,000) are available for leadership teams — enquire. When the decision is made and the capability needs building — workflows, governance, training your team keeps — that's techtuition. Want the research inside your product? That's Quantum Magic.
questions leaders actually ask
Can't I just ask ChatGPT?
You can, and you should. Then bring me the decision it can't make for you — the one involving your budget, your people, and your name on the outcome.
Is this AI training?
No. Training teaches your team to use tools. Advisory decides what they should be trained for — and what your organization should do about AI at all. When you do need the capability built — workflows, governance, curriculum — that's techtuition.
Why not a big consulting firm?
A firm sends a team of analysts and a deck. You get one person who has proposed, built, and shipped internal AI at a company you've heard of — at roughly the cost of the firm's kickoff meeting.
What if my question is technical?
Strategy, selection, governance, adoption, evaluation — yes. Writing your code — no, and I'll say so in the first ten minutes and point you to the right kind of help.
What if I don't get value from the session?
Tell me within a week and the session is free. I'd rather refund an hour than have you vouch for anything less than the work at its best.
Do you adjust pricing by region?
A limited number of adjusted-rate engagements are available for organizations in emerging markets and for nonprofits — ask.
There's a side effect, and it isn't small: an organization that learns to make AI decisions deliberately gets better at making decisions, full stop. Clients come for the AI strategy. The clarity tends to spread.
Book the session. Bring the decision.
Or email Deiadora directly — every engagement starts with an honest conversation about fit. Peer-to-peer from the first message.