A working-tools system for advisory delivery.
The visual, structural and editorial system that governs every output produced by the Digital Tourism Think Tank's advisory practice — across HTML dashboards, Word advisories, PDFs, decks and email — so that work from any engagement reads as part of one coherent practice.
DTTT runs many engagements concurrently and produces a high volume of advisory deliverables. Each must read as senior-peer guidance and look like it came from the same practice. This system is the infrastructure that makes that achievable at speed — including with AI assistance.
It extends from the visual language established in the AI Transparency Framework at ai.thinkdigital.travel, absorbing it as one of the system's documented document types.
DTTT advisors use it to start a new engagement from the right structural pattern. AI assistants — primarily Claude — read the substrate (markdown, tokens, component blocks) when drafting deliverables, so that AI-generated output reliably sounds and looks like DTTT.
Clients receive the work; they don't read this site. But it is shareable evidence of how DTTT approaches advisory delivery.
What lives inside the system.
The system is built as four interlinked artefacts. The reference site is itself one of them — it documents the system while being a reference implementation of it.
Colour, type, spacing, motion, voice. The atoms every output draws from.
8 core + 12 extended, each with anatomy, code, and decision rules.
Four assembled examples covering dashboard, proposal, advisory, deck.
Decision rules, integrations, deployment. The substrate that runs the practice.
Six output formats, one practice.
The system extends across every container DTTT advisory uses. Patterns translate across containers; voice and structure are consistent.
Multi-screen navigated experiences for live engagements. The most evolved expression of the system. Reference: SBR Session Outcomes.
Single-page document-like deliverables for proposals and milestone updates. Reference: CTB Advisory Dashboard.
5–8 page written advisories with structured sections and reference numbering. Conservative visual, recognisably DTTT.
Exported from Word or generated directly. Print-ready, A4 throughout.
Keynotes to client leadership. Same system, slide format. 16:9, navy or white grounds.
Pitches, follow-ups, milestone notifications. Tone-governed, structurally minimal.
Read the system in this order.
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01
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02Foundations
Colour, typography, spacing, motion, voice. The substrate every component is built from.
Open foundations → -
03Components
Eight core components at full anatomy depth, twelve extended for routine use.
Open components → -
04Templates
Four assembled examples — fork the closest one when starting a new engagement.
Open templates → -
05Claude usage guide
If you are using Claude to draft an output, read this. Voice rules, decision tables, narrative arcs.
Open Claude guide →
Maintained infrastructure.
The system carries its own version. Components and document types carry theirs. The AI Transparency Framework's eight model versions are imported as-is and continue from their current numbering. Every change is recorded in the changelog.
| Artefact | Version | Last updated |
|---|---|---|
| System (whole) | v1.0.0 | 25 April 2026 |
| Foundations | v1.0.0 | 25 April 2026 |
| Components — Core | v1.0.0 | 25 April 2026 |
| Templates | v1.0.0 | 25 April 2026 |
| Claude usage guide | v1.0.0 | 25 April 2026 |
| AI Transparency Framework | v1.1 (Transparency Model, imported) | Continuing |
See the changelog for the full version history and the versioning rules that govern each increment.