
The tokenmaxxing era was brief. We now appear to be entering the era of token rationing.
Companies initially encouraged employees to maximize artificial intelligence usage and spending, but are now implementing restrictions because AI token costs have become unpredictable and difficult to control. Employees have been using AI for basic tasks like converting files into presentations, which depletes budgets without providing clear business value. Leadership at executive levels is questioning whether the money spent on AI is delivering actual benefits to the organization. This shift from promoting AI spending to rationing it reflects broader concerns in the industry about whether AI can justify its costs as a business investment.

In this tutorial, we build OpenHarness from scratch to better understand how a practical agent harness works. We recreate the major building blocks that make an agent system useful, including tool use, typed tool schemas, permissions, lifecycle hooks, memory, skills, context compaction, retry logic, cost tracking, and multi-agent coordination. Instead of treating an agent framework as a black box, we expose the full control flow and watch how the harness receives a user task, lets the model dec

Figma has revealed some new design and coding product updates at its annual Config conference that aim to help creatives "push their ideas further" and automate tedious tasks with AI. Part of this is a reimagined canvas that's now optimized for full-stack development, according to Figma, bringing teams, AI agents, tools, and materials "together in one place." Notable callouts include coding layers that let you tweak the code of your projects without leaving the Figma Design can

The new app, which is currently being tested with select creators, will have Facebook's recently launched AI creator assistant built into it.
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