AI Training That Changes How Your Team Works
Live, mentor-led training shaped around your organisation's own tools and work, taught by the engineers who build Upfyn. Your people learn on the tasks they do every week, so the skills carry straight back into the job.
Live
Mentor-Led Classes
Hands-On
On Your Own Work
Online
Or at Your Office
What your team gets
Five Parts to Every Programme
Live classes are the centre of it. Around them sit the pieces that make new habits last once the class is over.
- 01Live
Live, Mentor-Led Sessions
Small-group classes led by a Thinqmesh engineer. Every session is hands-on: people work through a real task from their own week, with the mentor beside them.
- 02On Demand
Recordings for Catch-Up and New Joiners
Every session is recorded and shared, so anyone who misses one, or joins the team later, can catch up at their own pace.
- 03Your Organisation
Material Written Around Your Work
Prompt libraries, step-by-step workflow guides and checklists built from your team's tools and the way you work, kept as your own reference.
- 04Between Sessions
Practice on Real Work, Reviewed
Short tasks set on the team's own work between classes, reviewed by a mentor with feedback people can act on straight away.
- 05Schedule
Support When Someone Gets Stuck
Doubt sessions on request and short weekly tips, so questions get answered while the work is still fresh.
How this compares
Built for Adoption, Not Just Awareness
A one-off workshop starts the conversation and a course library gives people somewhere to look. Changing how a team works takes more than either.
| What Your Team Gets | One-Day Workshop | Self-Paced Course Library | Thinqmesh Training |
|---|---|---|---|
| Planned around your team's own tools and workflows | |||
| Live, hands-on sessions with an expert | |||
| Practice on real work, reviewed by a mentor | |||
| A separate track for each role | Sometimes | ||
| Recordings for people who miss a class or join later | |||
| Material written for your organisation | |||
| Support that carries on after the last class |
Tracks for every role
Each Role Learns What It Will Use
Every programme is split into tracks, so people spend their time on their own kind of work. We shape each track with you before the first class.
Engineering
For developers, QA and DevOps engineers.
- Working with AI coding assistants inside your codebase's conventions
- Writing tests, code reviews and documentation faster
- Building small internal tools and automations
- Using AI safely around code, keys and customer data
What They Leave With
A working tool or automation from your own backlog, built during the programme.
Inside a session
How a Live Session Runs
Every class follows the same shape, so the time goes on doing, not watching.
Start From a Real Task
The session opens on a task the group actually does, chosen with you beforehand: a report, a piece of code, a customer reply.
Watch It Done Live
The engineer works the task with AI in front of the group, talking through each choice, including where the AI gets it wrong.
Build It Yourself
Everyone does the same on their own work, with the mentor moving between people to help.
Review Together
Results are compared and checked as a group: what worked, what needs verifying, and what to keep as a habit.
Take It Back to Work
Each person leaves with a short task to finish on the job before the next class, and the recording to look back on.
Who teaches
Taught by the Engineers Who Build Upfyn
Your trainers are the people building Thinqmesh's own AI products, including Upfyn, our AI computer assistant. They teach from what they use and ship every week, not from slides.
- Engineers and product leads who work with AI every day
- Honest about where AI helps and where it falls short
- Hands-on practice on Upfyn, alongside the tools you already use
- One point of contact for your team from start to finish
Hands-on with real tools
Trained on the Tools Your Team Already Uses
We teach on the apps your people open every day, plus Upfyn, and agree with your IT team which tools and data are in bounds.
UpfynYour AI computer assistant
AI assistant
Writing and reasoning
Multimodal AI
AI research
Spreadsheets and reports
Spreadsheets and analysis
Documents
Presentations
Meetings and team chat
Code and version control
Team messaging
Scheduling
Docs and knowledge
Files and sharing
Data and scripting
Dashboards and insights
Build AI apps
Workflow automation
How engagements work
Shaped to Your Team's Size and Goals
No two programmes are the same. These are the parts we agree with you before anything is taught.
- Team Size
- From a single team to whole departments
- Delivery
- Online, at your office, or a mix of both
- Schedule
- Fitted around the working week
- Length
- Agreed with you when we plan the programme
- Location
- Online anywhere; on-site by arrangement
Built Into Every Engagement
- Tied to your team's real workflows
- Live sessions led by Thinqmesh engineers
- Recordings for catch-up and new joiners
- Material written for your organisation
- A report on what changed, and what to do next
Real people. Real learning.
See a Team Training Session in Action
Watch how a class runs: a real task worked live, then built by everyone in the room with a mentor alongside.
Video coming soon
Invest in your team
Tell Us About Your Team
Share a few details and we'll come back with how a programme could work for your team. It takes two minutes.
Training Questions, Answered
Start With One Team, Then Grow From There
Tell us about your team and the work you want to change. We'll come back with a training plan built around it.
