Optimise Your AI Stack - Training to Cut AI Cost
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Optimise Your AI Stack - Training to Cut AI Cost

24 September Online

About this event

Registration: https://airealist.org/workshops/ai-stack/

In 3 hours you learn to: audit your AI stack, understand the trade-offs between local models and public APIs, optimise your AI costs — and put it all into practice across 4 real-world challenges.

What You'll Leave With

  • Every participant leaves with a clear mental model of the modern AI stack and the confidence to make better decisions with it from day one.

How the Modern AI Stack Works

A clear understanding of what makes up today's AI stack — from model providers and APIs to local inference and orchestration layers.

Token Economy & How Models Are Billed

Understand how tokens work, how costs are calculated, and why the same task can cost 10x more depending on the model and approach you choose.

Price, Quality & Privacy Trade-offs

Know what you're giving up when you optimise for cost — and how to make informed trade-offs between performance, data privacy and price across providers.

The Right Model for the Right Task

A practical framework for matching tasks to models — so you stop using a €20/month flagship for things a free or cheap model handles just as well.

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Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.