Agent Spaces to Nurture a New Kind of Independent Writers

As of mid-2025, an estimated 50+ million people worldwide consider themselves “creators,” and the creator economy is valued at around $156 billion, projected to soar past $500 billion by 2030. Writing, once mainly a salaried job or an unpaid pastime, now stands as a credible independent career choice. A new wave of technology will soon expand that opportunity even further. Agent Spaces combine AI, private knowledge, live data, and decentralized finance to help writers evolve from storytellers into data-literate analysts and community leaders.

Tech Trends Shaping Independent Writing

1. AI: A Collaborative Co-Creator

AI has become a core component in the writer’s workflow. It accelerates drafting, repurposing, and content ideation, helping creators publish faster and more frequently. But AI still struggles with what defines great writing: emotional depth, original insight, a strong voice, and critical thinking. That gap is not a weakness; it is an invitation for collaboration.

The rise of human-AI collaborative environments, such as agent spaces, will empower independent writers to focus on what they do best: asking meaningful questions and crafting narratives, while AI handles speed, structure, and scale.

2. Platforms and the Prestige Trap

Publishing tools like Substack, Medium, and Beehiiv allow writers to build and monetize audiences directly. However, as Gruber and others have pointed out, many writers fall into the faux prestige trap, growing the platform’s brand instead of their own. “Substack” becomes the badge, even when the writer does all the work.

Agent Spaces on Thesis.io flip that script. They are designed to recenter the creator, turning platforms into tools rather than gatekeepers.

3. The Data Firehose

Today’s creators operate in a high-frequency, multi-stream world. Markets shift hourly. Communities signal sentiment in real time. But most publishing tools are built for static writing, not for querying and reasoning over large-scale, live data.

This gives rise to a new need: an analytics workbench for writers. One where they can use natural language to craft queries, run on-chain and off-chain data analysis, and generate visual, interactive insights to support their narrative.

4. Beyond Subscriptions: Agent Space Tokenization

Subscription models, donations, and shared revenue are already key pillars for writers. But tokenization adds a programmable, portable layer on top of the creator economy:

• Social tokens that allow communities to co-own a creator’s growth, live-access to data sources
• Collectible content assets that prove provenance and unlock new engagement models

These financial primitives allow independent writers to shift from audience monetization to networked value creation.

Real-World Precedents

We’ve seen early glimpses of this shift.

1. Dune Analytics

An open data platform for on-chain analytics. Independent analysts craft dashboards and publish data-backed narratives that drive influence in the crypto ecosystem. These dashboards are used by investors, protocols, and DAOs alike, positioning the creator as both researcher and market actor.

2. Kaito Yaps & Cookie Snaps

Platforms like Kaito show how social and financial signals can be surfaced, bucketed, and visualized by creators in real time. Cookie Snaps (Kaito’s mini-content format) lets analysts package insights as shareable snapshots, creating bite-sized alpha that is both informative and monetizable.

These platforms demonstrate what happens when creators gain direct access to structured data pipelines: a new style of content emerges, closer to analysis, yet still deeply human.

Thesis.io launches Agent Spaces

​​Thesis.io introduces Agent Spaces, programmable environments that let creators build intelligent, focused spaces for research, writing, and community insight. Although Agent Spaces offer powerful customization, they remain accessible to non-technical users by relying on natural language interactions. Anyone can create, prompt, and manage a Space without writing code.

Agent Spaces can serve a variety of use cases. They can be:

• Personal intelligence terminals, where individual creators connect data and guide their own research
• Collaborative spaces, where communities come together to co-create and explore shared narratives
• Expert-driven knowledge hubs, where specialists curate insights and share structured analysis with their audience

Each Agent Space is initialized with a custom System Prompt that sets the narrative focus. Creators then choose which Data Sources to include — from live InfoFi data feeds to private datasets like PDFs, spreadsheets, Notion pages, or Google Drive files. With these tools, a creator shapes not only the content but also the underlying intelligence of the Space.

Additionally, by default, each Agent Space includes access to a core set of data sources. These include public web search, trading data from centralized and decentralized exchanges, on-chain activity related to liquidity pools and perpetual markets, and social signals from platforms like X (formerly Twitter). As development continues, many more data sources are being added to expand research and insight capabilities.

Creators can organize their Space into Sections. Each Section is created through a simple prompt and inherits the Space’s knowledge context. This allows for modular content creation, layered narratives, or versioned research that remains tightly integrated.

Once deployed, the Space becomes an interactive research environment. Anyone who enters can use natural language to explore questions within the narrative scope. All responses are generated by AI agents that draw from the creator’s curated data and structure.

How Agent Spaces Supercharge Content Creators

Agent Spaces empower creators to shift from passive publishing to active, data-driven insight creation. They give writers full control over the structure, depth, and interactivity of their content.

1. Narrative-Driven Prompting & Analytics

Every Space is anchored by a narrative defined by the creator. Whether the topic is DeFi regulation, NFT trends, or macroeconomic flows, prompts issued within the Space follow this thematic direction. This keeps content focused, consistent, and tailored to a particular audience.

Spaces also link to dynamic data dashboards. These dashboards pull real-time signals from the Internet, on-chain data, social networks, and private knowledge. Writers no longer need technical skills to extract value from data. With prompt-to-query agents, they can ask questions in natural language, and the system handles everything else — from SQL generation to visualization.

2. Data Control and Precision

Creators select exactly which data sources the Space will access. They can choose from public InfoFi feeds, live on-chain data, social data, and their own private documents and databases. This helps reduce noise and ensures the insights produced are both relevant and trustworthy.

3. On-Demand Research for Readers

Readers are not limited to static articles. They can prompt the Space with their own questions and receive intelligent responses grounded in the creator’s data. This turns passive readers into active participants in the knowledge process.

4. For Developers & Builders

Developers and data builders can integrate Agent Space outputs into other tools. Every data stream, dashboard, or narrative can be subscribed to, extended, or recomposed in apps, bots, or smart contracts. Creators become live signal providers for a broader ecosystem.

New Writer Archetypes in Agent Spaces

The Agent Spaces environment spawns entirely new roles for digital writers:

These roles blur the line between writer, analyst, builder, and leader.

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Bottom Line

Agent Spaces on Thesis.io is not just a productivity tool or a personal AI assistant. It is a platform designed to support a new kind of independent writer, one who creates through prompts, transforms insight into composable and tradable assets, and earns trust by making their process transparent, participatory, and verifiable.

Independent digital writers are becoming a vital part of the media ecosystem. They operate alongside traditional outlets, sometimes collaborating, sometimes competing, and often standing out through greater agility, sharper analysis, and deeper engagement with their communities. Readers have more control than ever before. They can choose their information sources, support creators they believe in, participate in content development, and benefit from the value that high-quality insight provides.

The future of writing will be shaped by smart tools, real-time data, and communities built on shared purpose. It will be powered by technology, sustained by trust, and enriched by collaboration.

Thesis.io Agent Space is launching soon. Join us and help shape the future of independent writing.