Mike Taylor
PulseAugur coverage of Mike Taylor — every cluster mentioning Mike Taylor across labs, papers, and developer communities, ranked by signal.
- employed by Kate Lee 90%
- employed by Becky Isjwara 90%
- developed Every 70%
- developed by Katie Parrott 70%
- uses Every 70%
- used by Katie Parrott 70%
- employed by Natalia Quintero 70%
- employed by Nityesh Agarwal 70%
- developed Kate Lee 70%
- used by An Ape and a Fox 70%
- uses Austin Tedesco 60%
- used by Every 50%
5 day(s) with sentiment data
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Every CEO encourages ambitious AI experiments despite high token costs
Every CEO Dan Shipper is encouraging employees to experiment more freely with AI, even if it leads to higher token consumption. He believes that exploring new AI capabilities and workflows could unlock significant produ…
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Astra AI model gains traction with advanced computer use capabilities
Astra, an AI model capable of operating applications, has shifted from being a yellow-rated tool to a daily driver for Mike Taylor, head of evaluations at Every. This change was prompted by Astra's enhanced 'computer us…
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Every builds personalized AI benchmarks for employee tasks
Every, a company focused on AI evaluation, is developing personalized benchmarks for its employees to assess AI model performance on specific job tasks. CEO Dan Shipper explained that these custom evaluations, designed …
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Every explores AI-assisted writing with new 'Compound Writing' plugin
The publication Every is exploring how individuals write with AI, framing it as a collaborative process rather than a question of AI authorship. They are launching a series called "How We Write Now," beginning with a fo…
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AI adoption challenges for executives detailed in new Every guide
Every, a consulting practice focused on AI adoption, has compiled a document answering 33 common questions executives have about implementing AI. These questions, gathered from interactions with over 100 companies inclu…
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Every builds AI clones of employees to automate expertise
Every, a media company, is developing AI agents to replicate the expertise of its key personnel. Initially, they created KateBench to emulate editor Kate Lee's copyediting skills using GPT-5.6 and historical data. The c…
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New AI Trick Exposes Model Reasoning, Potential Data Leaks
Researchers have developed a method to extract internal reasoning processes from AI models, revealing potential vulnerabilities. This technique can expose personal information, such as passwords and API keys, though thi…
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Anthropic's Fable model excels at uncovering hidden task assumptions
The AI model Fable, from Anthropic, is being highlighted for its ability to uncover hidden decisions and assumptions within complex tasks. Unlike models that excel at executing predefined plans, Fable is particularly ad…
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Every details Codex use cases as Anthropic's Fable 5 returns
The AI company Every is highlighting practical use cases for its Codex agentic workspace, emphasizing its versatility and ease of use for non-technical users. Head of consulting Natalia Quintero shared how Codex has bee…
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US restricts GPT-5.6 Sol access; AI agents expand to knowledge work
OpenAI has released GPT-5.6 Sol, but access is restricted by the U.S. government to about 20 pre-approved companies. This rationing is expected to extend to token access, which will be allocated based on demonstrated re…
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AI enters allocation era: Token budgets to be managed like trading portfolios
Companies are shifting from aggressive AI adoption to a more strategic allocation of resources, as the cost of powerful models and long-running agents leads to significant enterprise bills without tangible results. This…
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Anthropic disables Fable 5 model, highlighting AI tool instability · 1 source tracked
Anthropic has disabled its Fable 5 coding model, impacting users like Every who relied on it for development. This sudden shutdown highlights the precariousness of using frontier AI models, as companies or governments c…
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GitHub sees 14B commits from AI agents, blurring developer lines
GitHub is experiencing a massive surge in code commits, largely driven by AI agents, which has led to the development of new tools for code review and merging. The company aims to empower developers to manage this influ…
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Every maps AI adoption from chatbots to multi-agent orchestration
Every has published a guide detailing eight levels of AI adoption, ranging from basic chatbot interactions to complex multi-agent orchestration. The guide aims to help users identify their current AI usage level and exp…
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Optimize AI costs by matching tasks to the right model, not just the smartest
Mike Taylor proposes "incremental determinism" as a strategy to optimize AI costs by matching task complexity to model capability. Instead of routing all tasks through expensive frontier models like Claude Opus, busines…