The hottest Agents Substack posts right now

Querying agents can be a long process, often taking many months and requiring lots of patience. It's normal to feel ups and downs as you wait for responses.
It's important to tailor your query letter to highlight your book's qualities and how it fits within its genre. Good comps can help agents understand what readers might enjoy about your story.
Don't get discouraged by rejections or silence. Keep querying different agents, and remember that perseverance is key to eventually finding the right match!

Using QueryTracker can help you organize your agent search effectively. It provides data on how many submissions agents are handling, which can guide you to the more active ones.
Publishers Marketplace is a great tool to check agents' sales history and the types of books they handle. This helps you understand which agents might be a good fit for your work.
Don't overlook new and junior agents. They are often very eager to build their lists and can offer personalized support as they look for new authors to represent.

The concept of Massed Muddler Intelligence (MMI) entails a new approach to scaling AI, emphasizing the importance of agents, local trial-and-error, and muddling through over monolithic, deterministic training models.
MMIs aim to leverage the principles of embodiment, boundary intelligence, temporality, and personhood to design scalable AI systems that resemble Service-Oriented Architecture in computing.
Building MMIs involves compositing different elements deliberately to create a language of differentiated forms, akin to how reinforced concrete combines materials in defined geometries to achieve specific properties.

On getting an agent: Agents are essential gatekeepers in the publishing world, helping with submissions and negotiations.
Agent relationships: A good agent can relieve pressure by handling business aspects, letting the writer focus on their art.
Agenting advice: Prospective agents should not charge for reading work, should be transparent about edits and submissions, and communication should be open and respectful.

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AI-based tools are becoming better at programming, not just generating code.
LLMs are making it easier for end-users to create their own software.
Agents using code can improve themselves and autonomously work towards solving user requests.

Agents in AI are rapidly evolving and have the potential to change how we access and interact with information.
The emergence of personalized AI agents like GPTs can provide customized, insightful perspectives in contrast to traditional media sources.
Creating trust markets with GPTs as virtual experts offers a new way to monetize expertise and deliver high-quality information.

Computational linguistics involves applying computer science techniques to language analysis and synthesis.
Developing AI agents in platforms like Salesforce and Shopify can streamline operations and improve customer interactions.
Advancements in AI technology have enabled the creation of sophisticated AI agents with generative models and deterministic workflows.

In certain fields like government and healthcare, dealing with conflict is unavoidable.
There's a need for software interfaces that can handle drama and conflict, not just transactional interactions.
Dramatic intelligence is crucial for the future development of software interfaces, especially with the rise of advanced language models.

AI agents can help improve consultation processes by clarifying thoughts and improving deliberation
AI-powered agents could act as aides for participants, providing context, facts, and coaching to organize ideas effectively
Using AI agents in consultation processes will require a balance between benefits and risks, including ensuring integrity, accuracy, and transparency