01
Direction over novelty
People want help separating durable shifts from a new tool’s launch noise—especially when prices and capabilities move quickly.
Conversation design / Bangkok
From AI hype
to useful work.
A dinner brief for a practical conversation with Nattapon Muangtum — connecting AI’s fast-moving frontier to marketing decisions, team design and measurable business outcomes.
What should
we hear?Not another tool tour.
A sharper question: what work should change next?
we hear?Not another tool tour.
A sharper question: what work should change next?
01 / PERSON
The public signal
A concise, work-focused read from publicly available sources. No private-life inference.
Nattapon MuangtumPublicly presented as the owner of การตลาดวันละตอน / Everyday Marketing and a Data-Driven Marketing Advisor.
Data → decisionsHis public profile and writing consistently connect data, marketing, customer context and action—not analytics as an end in itself.
Teacher-builderPublic bios describe experience in teaching Data-Driven Communication/Marketing and authoring seven books.
Content patternFrequent explainers use current cases, concrete numbers and “what this means for the team” framing.
Confidence: high for the professional positioning above; medium for audience preferences, which are inferred from public editorial themes rather than private analytics.
02 / TRENDS
What the audience is leaning toward
Across recent public editorial themes, the opportunity is less “which model wins?” and more “how do we make a better decision with it?”
02
Proof over promises
Cases with numbers, constraints and a repeatable framework are more useful than generic productivity claims.
03
Work redesign
The executive question is becoming: which roles, approvals and workflows should be rebuilt when agents become capable?
03 / DINNER
A format that earns the time
Make it a working conversation: one shared premise, three honest cases, one decision each.
19:00
Arrival — one AI frustrationEach guest names a task that still feels harder than it should.
19:20
Opening thesis — “Don’t follow tools; follow direction”Use the shift from chatbot to agent as the provocation.
19:45
Three cases at the tableMarketing execution, customer understanding, and internal knowledge/workflow.
20:30
Decision roundEvery guest writes one workflow to redesign and one risk to govern.
20:50
Closing — the 12-month questionWhat will be structurally different in our teams one year from now?
04 / ASK
Questions people will want to hear answered
Designed to invite judgment, not a product demo.
01 · Executive lensWhat is the AI shift that leaders are underestimating because they are watching tools instead of workflows?
02 · EvidenceWhat is the smallest real experiment that can prove an AI workflow creates business value?
03 · Team designWhen an agent takes over a task, what should the human role become—and what should not be automated?
04 · MarketingHow can a brand use AI and still sound like it understands a real person, not just a segment?
05 · TruthWhich AI claims currently sound impressive but fail when measured in an operating team?
06 · Personal practiceWhat do you personally refuse to delegate to AI, and why?
Recommended headline
“AI is not a tool adoption problem. It is a work-design problem.”
That frame bridges Nattapon’s data-driven marketing lens with the dinner’s broader AI audience—and leaves guests with something to do, not just something to remember.
05 / SOURCES
Research trail
Accessed for this brief on 27 August 2026.
Primary / public:
EverydayMarketing.co — การตลาดวันละตอน
Public WordPress profile record — Nattapon Muangtum
Facebook public profile — facebook.com/nattapon.nui
SlideShare public profile — Nattapon Muangtum
Facebook was login-gated in the research environment, so this brief does not claim to summarize non-public posts, private engagement data, or personal attributes. Trend conclusions are editorial hypotheses based on public professional positioning and recent public content themes; validate them with the guest before the dinner.