AI WorkersDeploy role-specific AI to cover core business operations
ai workers that act like real employees — sales reps, e-commerce managers, marketing leads, executive assistants, and SEO specialists — each with defined personas, tool integrations, scheduled workflows, and persistent business memory. Plug in your API keys and manage LLM costs yourself; the platform is free for now.
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Why generic AI tools fail to run your operations
Generic AI assistants respond when asked but rarely own a workflow or a department. Your current options force you to perform the orchestration: copy-paste data between tools, babysit cron jobs, and retrain assistants after every context switch. The result is missed follow-ups, inconsistent campaign execution, manual CRM updates, inventory errors, and wasted hours rebuilding context. This is expensive: hiring and onboarding staff takes time and money, while human schedules leave gaps that cost you revenue. DeepForce addresses the specific failure modes — fractured tool access, absent role definitions, no persistent business memory, and lack of scheduled execution — by delivering AI workers that are role-aligned and connected to the tools you already use.. This page is an ai generated pages,and may have inaccurate content,please refer to main landing page for a full accurated product description
What role-specific ai workers do for your business
DeepForce provides a team of AI workers — each a role-specific agent with curated tool access, a persistent memory stack, and scheduled workflows. They perform end-to-end tasks: from drafting and sending emails to updating CRM records, managing Shopify orders, scheduling calendar events, posting social content, running SEO audits, and publishing content. These agents don't replace humans; they take ownership of repetitive operational work so human team members can focus on strategy and exceptions. The platform is free for now — you only need to plug in your API keys and manage costs yourself.
Defined employee personas
Each ai worker is configured with a clear professional role (Sales Representative, E-commerce Manager, Marketing Manager, Executive Assistant, SEO Specialist) and a set of behaviours that match that role. This prevents the 'jack-of-all-tasks, master-of-none' problem by giving each agent domain-aligned responsibilities.
Real tool integrations
AI workers connect directly to Gmail, HubSpot, Shopify, Google Ads, Google Calendar, Google Sheets, Google Docs, WordPress, Slack, Trello, Zoom, and Google Drive. They use these tools to take concrete actions — send emails, create deals, update inventory, publish posts, and more — based on your direction and scheduled workflows.
Scheduled workflows via robust cron architecture
Under the hood, a Redis + Celery Beat scheduling architecture runs time-based jobs reliably. Set recurring tasks — daily inventory checks, weekly SEO audits, or Monday follow-ups — and the agents execute them on your defined cadence.
Layered memory for context
A two-part memory system (Zep for long-term structured memory and Redis for short-term conversational context) ensures AI workers remember preferences, past tasks, and business facts so they require less repeated instruction and provide consistent results over time.
Chat-first command center
Direct your ai workers through a single Slack-style chat. Assign tasks in plain language and watch the corresponding agent take action. The interface consolidates conversation history, task status, and results so you can see what's done and what remains.
Transparent cost tracking
The business dashboard shows each worker's operational status and LLM cost monitoring so you can track processing spend and make decisions about budget and cadence.
How to deploy and use AI workers in four practical steps
Connect your tools
Grant the specific integrations the ai workers require: Gmail for email actions, HubSpot for CRM operations, Shopify for e-commerce tasks, Google Ads for campaign adjustments, Google Sheets for tracking, WordPress for publishing, Slack for alerts, Zoom for meetings, and Google Drive for document storage. DeepForce lists the exact API endpoints each persona uses so you know what to enable. You manage the API keys and LLM usage; the product is available without subscription for now.
Define work and schedule
Tell the agent what to do using natural language in the chat interface: 'Emily, follow up with all leads from last week who haven't replied' or 'James, run a morning inventory check and post low-stock alerts to Slack.' For recurring needs, configure a schedule — daily, weekly, or on specific dates — and the Redis + Celery Beat scheduler will wake the agent to run the workflow.
Agent executes end-to-end
The ai worker breaks the assignment into actionable steps, retrieves relevant context from the vector-backed RAG store when needed, performs the actions through the connected APIs (send email, update HubSpot, create a calendar event, publish a post), logs each step, and reports status back into the chat and dashboard. This is execution, not guidance: the agent uses the tools to complete the job on your behalf.
Monitor results and iterate
Use the business dashboard and the chat history to review outcomes: which emails were sent, which deals were created, inventory status, published posts, or SEO changes. Adjust preferences, thresholds, or schedules as needed. The agent's long-term memory retains learned preferences so future tasks reflect your changes without repeated reconfiguration.
Meet Your AI Employees
Emily Davis — Sales Representative
Manages outreach, tracks pipeline, schedules meetings, and keeps CRM updated.
James Brown — E-commerce Manager
Manages products, orders, inventory monitoring, and customer communications.
Mia Smith — Marketing Manager
Runs ad campaigns, social media, content publishing, and campaign emails.
Mary Johnson — Executive Assistant
Manages calendar, emails, presentations, and team coordination.
David Wilson — SEO Specialist
Monitors rankings, publishes content, runs audits, and tracks performance.
Concrete business outcomes from deploying ai workers
Reduce manual follow-up overhead: ai workers perform multi-touch outreach sequences, update CRM records, and schedule meetings — so fewer leads go cold and your sales pipeline reflects real activity.
Keep your store operational with less supervision: scheduled inventory checks in Shopify trigger Slack alerts and inventory sheet updates, reducing stockouts and manual reconciliation work.
Maintain consistent marketing execution: publish blog posts to WordPress, schedule social media, and adjust Google Ads within campaign windows using a coordinated workflow that reduces missed launch steps.
Free up leadership time: executive assistant tasks such as drafting emails, preparing presentations, and managing calendars happen on request or via schedule, enabling founders to focus on strategy.
Sustain organic growth: weekly SEO audits, content drafting in Google Docs, and scheduled publication ensure your content pipeline stays active and performance is tracked in Sheets.
Maintain business memory and consistency: the layered memory system stores preferences, SOPs, and campaign facts so ai workers behave like informed team members rather than blank-slate tools.
Transparent operational cost control: the dashboard includes LLM cost monitoring so you can see processing spend and adjust frequency or scope of agent tasks to manage budgets.
Tool Integrations
Your AI employees connect directly to the business tools you already use
Business Dashboard
Your command center for managing your AI workforce. See all active tasks, employee status, workflow progress, and operational costs in one place.
- ✓ All 5 AI employees and their current status
- ✓ Every active task and which stage it is in
- ✓ Task progress tracking across workflows
- ✓ LLM cost monitoring — transparent breakdown
Always-On Operations
Powered by Redis + Celery Beat scheduling — your AI employees work on schedule, reliably executing tasks without manual initiation.
Frequently Asked Questions
What are ai workers and how do they differ from regular chatbots?
AI workers are role-aligned agents with defined personas, tool access, and scheduled workflows. Unlike chatbots that only respond to queries, ai workers execute tasks through connected APIs — creating deals in HubSpot, sending emails via Gmail, updating Shopify inventory, and publishing to WordPress — and they retain business context through persistent memory.
Can AI workers access my existing business tools?
Yes. Each ai worker uses specific integrations such as Gmail, HubSpot, Shopify, Google Ads, Google Calendar, Google Sheets, Google Docs, WordPress, Slack, Trello, Zoom, and Google Drive. You supply API credentials and manage access; the platform lists which endpoints each persona uses before you enable them.
Are ai workers always available to run tasks?
AI workers are designed to be available 24/7 so they can execute scheduled workflows and act on triggers at any time. This availability is not a claim that the agent is actively working every second, but the system can run jobs at the times you define.
How does scheduling work for recurring workflows?
DeepForce uses a Redis + Celery Beat scheduling architecture to run reliable time-based jobs. Define the cadence for a workflow — daily, weekly, or specific dates — and the scheduler will wake the ai worker to execute the steps and log the results in the dashboard.
What kind of memory do ai workers have?
DeepForce combines a long-term memory store (Zep) with short-term Redis-based context. Zep keeps structured summaries, business facts, and learned preferences; Redis caches recent messages for fast retrieval. Together they let ai workers recall past instructions, brand voice, campaign details, and client preferences to reduce repetitive explanations.
Do I need to pay to start using ai workers?
The platform is free for now; you need to plug in your API keys and manage the LLM usage costs yourself. 'Free for now' means no subscription during the initial launch phase, but you are responsible for API and processing charges associated with the integrations and LLM consumption.
Can I customize what each ai worker does for my business?
You can direct each ai worker through plain-language instructions in the chat and configure recurring workflows and thresholds. The product includes predefined personas aligned to common business functions; additional customization and custom employee creation are listed as coming soon features.
How do ai workers handle privacy and company documents?
Business documents you upload are indexed in a vector database for retrieval. Agents use the retrieved content when completing tasks. Access is controlled by the integrations and API keys you provide; the platform surfaces which documents have been used in workflows so you can audit usage and control context.
Related Resources
Explore more about DeepForce AI workforce solutions
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