Make one recurring work task easier to do — and easier to check.

Private, nontechnical coaching for busy professionals who want to improve one task they personally handle, such as a weekly update or decision brief. Learn a simple workflow at a pace that fits your computer and AI experience, without handing over your judgment.

Book a free 15-minute fit call ↗

Bring the recurring task you want to improve and a description of how you do it today. No private files, new AI subscription or commitment are needed for the fit call.

Is this for you?

• You personally make a recurring work output — such as a weekly update or decision brief — and want to improve one part of that process.
• You may be new to AI, have tried it a little, or already use it but find its answers difficult to check. We adjust the teaching pace, not the package price.
• You want to learn to do the work yourself with guidance, not hand it to an agency or automate it blindly.
• You can practice with fictional notes if your organization has not approved a specific AI tool and data path.

From the intro call to a repeatable next step

Coaching stands on its own; a separate digital video course is still in development and is not needed for these calls. We work on one bounded task using a simple loop: Brief → Verify → Human approve.

1. Free 15-minute fit call. I ask about your computer confidence, AI experience, current bottleneck, what you want and need, and what you expect from coaching. We decide whether one safe task fits; this is not a free implementation session.
2. Agree on scope. If there is a fit, choose the one-call session or the two-call sprint. We confirm the exact scope, price, payment and cancellation terms in writing before payment.
3. Work through one example. You map the current task with me, write a reusable brief or prompt, and compare a draft with its source notes. You decide whether any output is ready for real use.
4. Practice again if you choose the sprint. Try the same workflow independently between calls. In the second call, we review what failed, revise it once, and plan the next recurrence.
5. Leave with a next step. Keep an editable draft, quality and stop checklist, and a clear next action. No AI output is automatically approved or sent.

Two ways to work together

Only if the fit call shows this is useful for you. Nothing is charged automatically — format and price are agreed in writing first.

The sprint costs $300 more than one session and adds a second call, a practice attempt between calls and one coached revision on the same task. It is not two discounted copies of the one-call session. We confirm the exact scope and terms in writing before payment.

What to expect

The goal is to learn one useful method you can review and repeat — not to hand an important decision to AI.

• A teaching pace matched to your current computer and AI confidence: guided steps for newcomers, more independent drafting and checking for experienced users.
• One plain-language loop: Brief → Verify → Human approve. You remain responsible for reviewing real work.
• An editable task map, brief or prompt draft, quality/stop checklist, and practical next action; a first draft may still need revision in your workplace.
• Fictional or suitably sanitized practice examples unless your organization explicitly permits both the AI tool and the specific data.

What this is not

• Not the digital video course. That is a separate product under development, not included in or required for coaching.
• Not done-for-you implementation, custom software, an entire company rollout, or unlimited ongoing support.
• Not an autonomous agent that sends emails, changes records, makes commitments, or approves decisions for you.
• Not permission to paste confidential information into an unapproved tool. If tool or data approval is unclear, we use fictional notes.
• Not a guarantee of time savings, accuracy, revenue, promotion, or a completed workplace deployment.

About Cihan

Cihan Uygur works in business development and operations at Castrum Capital, a web3 venture capital firm, and teaches practical AI for real work. His path runs from merchant ship officer to developer, startup builder, venture operator, and AI builder.

His approach to coaching is simple: choose one task, write a clearer brief, check what AI returns, and keep the human in control.