How to Configure Claygent Workspace Tools and Custom Context in Clay

According to the Salesforce State of Sales 2026 report, sales teams employing autonomous AI agents report an average 34% reduction in prospect research time. This efficiency gain represents a major shift in how B2B go-to-market teams build their outbound pipelines. However, realizing this efficiency gain requires moving beyond basic single-sentence prompts. To get accurate, highly personalized enrichment, teams must configure the underlying AI research agent with structured company documentation and tailored guidance. This is where setting up Claygent workspace tools and custom context becomes essential.

Claygent workspace tools encompass the configuration settings, AI model choices, and custom context documents that guide Claygent's autonomous web research. Unlike traditional enrichment systems that pull from static data repositories, Claygent acts as a virtual research assistant. It browses websites, navigates pages, and extracts specific, unstructured information to solve the last-mile data problem directly inside Clay tables. For instance, it can find specific software installations, search pricing tables, or read recent press releases to evaluate lead fit.

Managing these files and research workflows, however, presents logistical challenges. Outbound teams often store their target accounts, prompt guides, and research results in scattered directories or local spreadsheets, leading to version confusion. If an agent runs research on a prospect list, it requires access to consistent messaging guidelines and ICP definitions. When multiple team members collaborate with these agents, standard cloud storage tools fail to provide structured document extraction or clear audit trails. Using a dedicated external storage workspace like Fastio allows teams to house their research files in a central, versioned repository, ensuring that humans and agents work from the same source of truth. You can learn more about configuring storage for AI workflows by visiting the Fastio agent storage portal.

To customize Claygent's behavior, you must configure the central agent settings. This process is managed inside the Claygent Builder, which is accessible via the Agents tab in the left-hand navigation bar of the Clay dashboard. Standard enrichment waterfalls run general lookups, but the Claygent Builder allows you to inject deep context directly into the agent's prompts. Many tutorials cover only basic prompt tuning, leaving a gap in how to feed structured company documentation to the agent.

Within the Claygent Builder, you configure your custom settings under two primary categories:

Business Context This section defines your company's core profile. If your workspace settings are not yet configured, you can input your domain, and Clay will automatically research and populate your company description, Ideal Customer Profile (ICP), and target buyer personas. Claygent references this context during web research to align its evaluations with your business criteria.

Document Uploads This setting allows you to upload custom context files, including PDFs, CSVs, or images, directly into the prompt. Providing these files helps the agent evaluate prospects against complex rules. For example, you can upload a CSV detailing product features, a PDF outline of your brand voice guide, or a document explaining target customer segments. Rather than writing long prompts, attaching these custom context files provides the agent with structured playbooks to refer to during web research. Clay maintains data privacy controls, ensuring that these uploaded documents are not used to train external AI models.

Optimizing your web research workflows requires adjusting the underlying AI models and search settings. The builder panel provides options to configure how Claygent queries the web and which intelligence engine it uses.

Model Selection The configuration panel allows you to choose from several claygent AI model configurations, including Claygent Neon, GPT-4, and Claude Opus. Selecting the right model depends on your research complexity. Claygent Neon is optimized for fast, structured data extraction, making it suitable for simple scraping tasks. If your research requires parsing complex articles, evaluating customer reviews, or performing logical comparisons, switching to GPT-4 or Claude Opus is recommended. The builder interface makes it easy to switch models to test performance without rewriting your prompt structure.

Web Search Toggle This setting controls whether the agent runs live Google searches. Enabling the web search tool allows Claygent to browse the live web, find recent press releases, check hiring updates, and search local job directories. Disabling the search tool limits Claygent to the uploaded custom context documents. Turning off web search is recommended when you need the agent to evaluate prospects using only your internal playbooks, which accelerates processing speeds and reduces credit consumption.

Find Contacts and Jobs Tool This configuration grants the agent access to contact databases and employment listings. Enabling these tools allows the agent to identify key personnel, fetch email addresses, and track open job roles, which is critical for outbound sales prospecting.

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Set up a shared Fastio workspace with Metadata Views and expiring share links to distribute qualification sheets. Start your 14-day free trial.

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According to a review of over 100 users' experience published by Coldreach, managing credit consumption and prompt logic are the main challenges when using Claygent. The review notes that failed lookups still consume credits, which can lead to high costs if you deploy untested prompts across large datasets. This makes testing and iteration critical steps before running full campaign waterfalls.

The Claygent Builder includes a dedicated sandbox to test your custom context files and model configurations before deploying them. You can add a small sample of table rows, run test executions, and inspect the output. The Sculptor AI copilot is built into this canvas, allowing you to refine your prompts conversationally. As you iterate, the builder records your test cases and version history, making it easy to compare results and revert changes if the output quality drops. Once your prompts consistently return accurate data, you can save the agent and deploy it as a waterfall step across your active tables.

After Claygent completes its enrichment runs, your sales team is left with structured data points, alongside downloaded PDFs, reports, and spreadsheets. Distributing these assets to human reps requires a reliable storage and collaboration layer. If you use Google Drive, automated agents often face CAPTCHAs, and link preview pages can prevent direct downloads. Setting up S3 is complex and risks exposing proprietary customer lists.

Fastio provides a dedicated shared workspace layer where humans and agents collaborate on files. Growth teams can start with a 14-day free trial (credit card required) to evaluate the workspace features, then select a plan that fits their needs by visiting the Fastio pricing page.

Using Fastio workspaces around your Clay workflows provides several advantages:

Metadata Views for Document Extraction To extract structured data from your research files, you can use Fastio Metadata Views. Instead of using manual entries or setting up rigid OCR rules, you describe the fields you want in natural language. The system automatically designs a typed schema (supporting Text, Integer, Decimal, Boolean, URL, JSON, and Date & Time), scans the documents, and populates a spreadsheet grid. This is highly useful for organizing contract terms, policy numbers, or invoice lists. You can learn more about this structured extraction layer by visiting our page on document data extraction.

File Versioning and Collaboration Every file in a Fastio workspace keeps a full version history, allowing you to restore prior versions if a script or user overwrites a file incorrectly. Growth teams can use Collaborative Notes for real-time co-editing of email copy and sales playbooks. Both human writers and AI agents act as co-editors with visible cursors.

Branded Share Links You can distribute prospect assets via purpose-built share links for Send, Receive, and Exchange workflows. Shares can be durable or set to expire. For outbound prospecting, you can configure expiring receive shares to collect documents from leads securely.

Ownership Transfer Consultants building sales infrastructure can use ownership transfer to set up workspaces and Metadata Views for clients. Once configured, the agent transfers organization ownership to the client via a claim link, while retaining admin access to manage the systems.

Security and Audit Logs All files are encrypted using AES-256 at rest and TLS 1.3 in transit. Fastio maintains an append-only audit log, which is an immutable record of all human and agent operations. This allows you to track exactly who accessed a document and what queries were run. For developers, Fastio is MCP-native, exposing streamable HTTP at /mcp and legacy Server-Sent Events (SSE) at /sse. This allows developers to connect external agents directly to their workspace using the Fastio agent storage portal or onboard their assistants via the fast.io/llms.txt configuration file.