Building Custom GPTs & Claude Projects
capability building,
designed for your organisation.
A custom-built corporate programme for knowledge workers, consultants, analysts, marketing professionals, sales engineers, product managers, and individual contributors who want to build reusable AI assistants for their team or function. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements — module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- ChatGPT Custom GPTs: capability, sharing, ecosystem
- Claude Projects: persistent context, Artifacts, team-sharing
- Gemini Gems: Workspace integration, Drive grounding
- When to choose which (decision framework)
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Demonstrable skills your team will apply on live projects.
Build production-quality Custom GPTs, Claude Projects, Gemini Gems
Design framework, instructions, knowledge curation, conversation starters, testing — all applied with discipline.
Choose the right platform per use case
Defensible decisions across GPT vs Project vs Gem based on context, integrations, and team.
Govern AI assistants across the organisation
Sharing, classification, update cadence, retirement — the operating model that keeps assistants useful.
Ship 5+ working assistants to your team
Capstone deliverable: 5 production-quality assistants serving real workflows, with adoption data.
Become an internal AI assistant champion
Equipped to mentor colleagues, run internal show-and-tells, shape organisation-wide assistant strategy.
Compress recurring tasks 40-70%
Documented time savings on tasks the assistants automate — measured pre/post.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·Has used ChatGPT casually but never configured a Custom GPT, Claude Project, or Gemini Gem
- ·No design discipline for AI assistants — defaults to a one-paragraph instruction prompt with no testing
- ·Cannot decide what to put in instructions vs. knowledge files vs. conversation starters
- ·Limited fluency with knowledge-base hygiene for AI assistants
- ·No governance discipline — assistants shared without sandboxing, classification, or update cadence
- ·Unaware of the differences and trade-offs between GPTs, Projects, and Gems
Where they'll arrive
- ✓Custom GPT mastery — designs, builds, tests, ships, and maintains role-specific Custom GPTs
- ✓Claude Projects fluency — Projects with persistent context, custom instructions, and Artifacts
- ✓Gemini Gems competence — for Workspace-grounded use cases
- ✓Design discipline — from brief to instructions to knowledge to test-and-iterate
- ✓Governance fluency — sharing, classification, lifecycle, update cadence
- ✓Portfolio of 5+ assistants — shipped to teams, with documented adoption and outcomes
Built for L&D outcomes, not seat counts.
Prompt discipline, not prompt luck
Learners move from trial-and-error prompting to named patterns such as role prompting, few-shot, prompt chaining, and self-critique.
Reusable team assets
The programme produces Custom GPTs, reusable workflow templates, and a shared prompt library that teams can govern and scale.
Daily productivity workflows
Labs focus on email, reports, slides, meetings, spreadsheets, research synthesis, and role-based business assignments.
Measured time savings
Capstone workflows document recurring task compression, review-cycle reduction, and before/after productivity improvements.
Responsible enterprise use
Learners practise confidentiality, IP, bias detection, verification checklists, and safe-use protocols before adoption at scale.
Sustainment built in
30-day, 60-day, and 90-day check-ins help learners keep pace as ChatGPT features and frontier models evolve.
A four-milestone path from skill gap to client-ready.
Foundation & baseline
Establish a working mental model of ChatGPT, frontier models, tokens, context windows, hallucination risks, and model-selection trade-offs.
Prompt engineering labs
Learners practise CRISPE, SPEAR, role prompting, constraint-led prompting, few-shot prompting, self-critique, and prompt iteration on real work scenarios.
Custom GPTs & workflow automation
Each learner builds reusable GPTs and connects ChatGPT to productivity tools for email, documents, spreadsheets, meetings, and research workflows.
Capstone & sustainment
Learners demonstrate a personal AI productivity system and continue with prompt-of-the-week, model-of-the-month, and 30/60/90-day check-ins.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
Domain-expert trainers, not professional presenters.
"My job isn't to teach ChatGPT as a tool — it's to help professionals build repeatable AI workflows, verify the output, and reclaim hours from routine work."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·Knowledge workers who want to apply ChatGPT productively in their daily workflows
- ·Business analysts, consultants, marketing professionals, project managers, and individual contributors
- ·Teams that use ChatGPT for occasional drafting but need reliable, business-grade outputs
- ·Managers looking to establish team-wide prompt standards and safe-use protocols
- ·Organisations that want to automate repetitive work across email, spreadsheets, calendars, and documents
Pre-requisites
- ·No coding prerequisite for business and productivity tracks
- ·Basic familiarity with workplace tools such as email, documents, spreadsheets, slides, and meetings
- ·Willingness to bring real recurring tasks into labs for workflow redesign
- ·Enterprise cohorts should align data-handling expectations before learners use company or client information
Trusted by L&D leaders across the world.
"The programme moved our team from random prompting to a repeatable method. The prompt library and Custom GPTs became assets we could actually reuse."
"The most useful part was workflow automation. Learners took their weekly reports, meeting recaps, and research tasks and reduced hours of repetitive effort."
"Responsible use was handled practically. The team finally understood what can be pasted, what must be masked, and how to verify output before sending it."
Questions L&D teams ask before signing.
This course focuses on building production-ready Custom GPTs, Claude Projects, and Gemini Gems with workflows, integrations, actions, governance, and deployment strategies rather than only prompt engineering basics.