Six weeks. One-to-one. An AI assistant built entirely around your work, your voice, and your role.
Spark is for individual professionals who want to use Claude properly: not as a search engine, but as a genuine thinking partner that knows their work.
This is right for you if you are: a senior professional who has dabbled with AI and feels like you're only using 10% of it. A founder who wants to move faster without adding headcount. An executive who needs a working AI practice before your organisation starts asking you to lead one.
Personal Settings, Projects, Memory. Claude configured to know who you are.
Chat, Artifacts, and the Job + Shape formula. First real tasks done with Claude.
Your first five Skills written and deployed. Repeatable tasks codified.
Working directly on documents. The shift from chat to working environment.
Gmail, Drive, Excel, and PowerPoint integrations live.
Audit of everything built. Refinements. Optional path to Team or Transform.
Most AI training was built in 2024 or 2025, after the AI Fluency Framework was published. Spark teaches the practice that came first. The Darla Method has been in active corporate use since January 2023 (Day 32 of ChatGPT's public existence) and taught publicly from October 2023 onward, over two years before the academic framework that later articulated similar territory was published.
When Anthropic, University College Cork, Ringling College of Art and Design, the Higher Education Authority of Ireland, and the National Forum for the Enhancement of Teaching and Learning co-badged the AI Fluency Framework, the alignment with what was already being taught was so complete that the first Anthropic Academy course was completed without working through the material at all. The practice was already three years deep.
Spark teaches both layers: the academic articulation (the 4Ds) and the practice that came before (the Darla Method, particularly the persona-led entry move that no framework yet describes). Thirteen Anthropic Academy courses completed. Twelve certificates issued. 550+ professionals trained across nine countries. Real engagements, real outcomes, refined across every one.
The persona-led entry move. Build a named AI partner configured to your role, your standards, and how you actually work. This is the step almost no other training covers, and it is upstream of every technique that comes after. Your prompts get longer. The context you give gets richer. The work that comes back changes shape.
Delegation, Description, Discernment, Diligence. The academically co-badged 4D AI Fluency Framework, applied inside the partner relationship you have already built. Not abstract principles; the four disciplines that turn an AI conversation into senior professional work.
Speaking, not typing. Voice mode is the most natural way to work with AI and the fastest route to fluent use. Twenty or thirty years of professional experience becomes the input, not the constraint. The 140-character habit gets unlearned. Briefings get richer; outputs get sharper.
Custom skills, project-level context, persistent briefs, repeatable patterns. By week six, you are no longer prompting from scratch. You are working inside a system that knows your role, remembers your standards, and gets sharper with every interaction. The hours saved compound month after month.
Senior professionals who already have AI sitting in front of them on Claude or ChatGPT, but suspect they are using maybe 10% of what it can actually do. Founders, function heads, partners, and executives where the cost of bad output, slow response, or generic communication is measurable. People with real context to bring, who want AI that genuinely thinks alongside them rather than producing fluent generic answers.
Six weeks. Six 1:1 sessions, weekly, 60 to 90 minutes each. Delivered remotely as standard, with optional on-site delivery available across Singapore and APAC. Between sessions, you apply each step to your real work, and David is available asynchronously for specific questions. The cadence is built so the practice embeds rather than fades after the final session.
A named, briefed, personalised AI partner built around your role, standards, and recurring tasks. Fluency in the 4Ds AI Fluency Framework, applied to your actual work. A library of role-specific skills and workflows that compound over time. Confidence in voice-mode working, persistent context, and the persona-led entry move that almost no other training covers. A working method you keep, not a workshop that fades.
Spark is 1:1, individual scope, six weeks. Team is multi-person cohort training for a single function (typically 8 to 25 people) running over eight to twelve weeks. Transform is a whole-organisation programme spanning leadership and multiple functions over fourteen to twenty weeks. Enterprise is the global multinational tier with multi-region rollout and David embedded as fractional Chief AI Officer. All four share the same teaching foundation, the 4D AI Fluency Framework, with the Darla Method as the practice layer underneath.
Yes. Start with the free Getting Started with Claude or ChatGPT training, ten self-guided lessons that cover the foundation principles, with no signup required. If Spark looks right after that, the AI Readiness Audit (four weeks) gives you a structured assessment of where to start and which programme tier fits. Most senior engagements begin with the Audit.
Run this audit on your working week before our discovery call. Twenty minutes, four Ds, your honest score. It tells you exactly where to start.
A four-week diagnostic. Role-impact map for up to ten roles. Adoption-risk scorecard. Twelve-month roadmap with engagement options.
A ten-minute diagnostic you can run on your own working week. See exactly where you are getting value from AI, and where you are leaving it on the table. Free, printable, no strings.