Case Study: Writing a Custom GPT
Moto Manual Assistant (V1.4)
APL Performance Bikes services hundreds of Indian Motorcycles annually, emphasising performance tuning and rider confidence. Although their workshop is the best in the country, they face a significant challenge: time is often wasted searching for technical specifications, navigating cumbersome PDFs, and verifying service procedures for the 2022–2023 Indian Chief, Chief Bobber, Super Chief, and Scout models.
Case Study: Moto Manual Assistant – AI That Talks Like a Mechanic
The Moto Manual Assistant is designed to provide APL with a powerful, on-demand tool for Indian Motorcycle owners. It offers fast and accurate service information and reduces the time spent searching through manuals or answering repetitive technical questions, helping to save both time and money.
Challenge
APL Performance Bikes handles the servicing of hundreds of Indian Motorcycles annually, prioritising performance enhancement and rider assurance. Although their workshop is recognised as the finest in the country, a significant issue repeatedly arose: time spent searching for technical specifications, dealing with cumbersome PDFs, and verifying service procedures for the 2022–2023 Indian Chief, Chief Bobber, Super Chief, and Scout models. Riders were also frequently inquiring about service, torque specifications, Ride Command functionalities, and maintenance schedules.
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In Page Demo
This is a preset simulation of a GPT-style conversation between a Mechanic and MotoManual’s AI assistant. It is designed to visually replicate the ChatGPT experience in a static, yet realistic format. Instead of using a live AI model, it operates on preloaded content.
Core Features
Exact Torque Specs by Model and Component
The Moto Manual Assistant provides precise torque specifications for the 2022–2023 Indian models: Chief, Chief Bobber, Super Chief, and Scout. It delivers exact Nm/ft-lb values for components like rear axle nuts, primary cover bolts, and calliper mounts instantly. This ensures proper assembly, prevents strip-outs or over-tightening, and maintains factory-safe standards without the need for manuals or guesswork.
Step-by-Step Service Procedures in Mechanic Language
Forget generic guides. The Assistant provides straightforward procedures for workshop techs: concise and in logical order. Oil changes, clutch adjustments, valve inspections, fork rebuilds—explained as if by a fellow mechanic. It highlights the need for threadlocker and warns about tricky bolts, ensuring realism to save time and avoid common pitfalls.
Ride Command Troubleshooting and Navigation
Ride Command is impressive but can present challenges like Bluetooth issues, GPS glitches, and frozen screens. The Moto Manual Assistant helps tackle these problems by providing troubleshooting guides, instructions for resets and firmware checks, and advice on pairing devices and calibrating features. It’s like having a tech support companion to assist you on the road without needing to visit a dealership.
Part Fitment Info and Workshop Insights
No more guessing if a part fits—it cross-references part numbers for compatibility, recalls, and common mod tweaks noted by APL’s techs. It also provides practical workshop insights, such as “This part fits but requires rerouting your brake line” or “Tight clearance near the exhaust, heat wrap recommended.” This combines catalogue info with real-world experience for added value.
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Solution
APL’s founder and digital lead, Nige, designed and built the Moto Manual Assistant — a custom GPT trained on the exact models APL services most: the 2022–2023 Indian Chief range and Scouts.
Implementation
The Moto Manual Assistant was initially deployed for internal use. It helped technicians reduce workshop job times by 20–30%.
The interface was designed to maintain concise conversations: users can ask questions, receive answers, and move on efficiently.
Key integrations included:
Indexing OEM service manuals and technical bulletins
Custom prompt tuning to align with mechanical terminology
Controlled scope to ensure accuracy and reliability
Easy mobile access for use in garages and on the roadside
Results
Faster Job Turnaround: Mechanics reduced average lookup and diagnostic time by 25%.
What Makes It Unique?
While many workshops talk about “innovation,” APL has truly embraced it. The Moto Manual Assistant is not just a gimmick; it is a practical tool for both customers and mechanics. This reinforces APL’s reputation not only as a leader in performance but also as a pioneer in digital service enablement.
FAQs
What exactly is the Moto Manual Assistant?
AI helps automate tasks such as generating reports, organising spreadsheets, summarising meetings, creating content, handling customer queries, and accelerating research, potentially saving significant time across your business.
Is it only for Indian bikes?
Right now, yes — the 2022–2023 Indian Chief platform and Scout models. That’s APL’s specialty, and that’s where the data is razor-sharp. Expansion is possible, but the focus is on doing one thing exceptionally well.
Is this public or only for APL customers?
It’s primarily for internal workshop use and APL customers. But depending on the rollout strategy, it may eventually be opened up more broadly to Indian riders Australia-wide. That’s still being scoped.
Does it replace a mechanic?
Hell no. It assists one. It’s a tool, just like a torque wrench or lift. The difference is, this one talks back and remembers all the specs, service intervals, and quirks without blinking. It's about efficiency and accuracy, not replacement. Does AI really create content?
Is this public or only for APL customers?
It’s primarily for internal workshop use and APL customers. However, depending on the rollout strategy, it may eventually be opened up more broadly to Indian riders Australia-wide. That’s still being scoped.
Why didn’t Indian Motorcycles build this?
Good question. They didn’t. APL did this because when you’re at the top of your game, you build what your customers and team actually need. That’s the difference.
“The future of shopping won’t start with a search bar—it’ll start with intent. When AI chooses for the customer, the only question that matters is: will it choose you?” - Nigel Price - Founder
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