Taskade

Taskade is an AI-native workspace built around the idea that a single prompt can create living software. Its core engine, Taskade Genesis, lets users generate full-stack internal apps, AI agents, and multi-step automations that stay connected to structured projects and documents inside one unified workspace. Instead of static notes or task lists, every project acts as a living database that powers dashboards, client portals, CRMs, and other internal tools. The platform is organized around three pillars: Projects as the memory layer (structured data and views), Agents as the intelligence layer (AI teammates that plan and act), and Automations as the execution layer (24/7 workflows that run on triggers and conditions). Users can build and modify apps in real time, switch between multiple project views (lists, boards, calendars, tables, mind maps, Gantt charts, and org charts), and collaborate with embedded chat, comments, and even built-in video calls for synchronous work. Taskade’s AI layer runs on more than 15 frontier models from OpenAI, Anthropic, and Google, including GPT-4.1, Claude Sonnet 4.5, and Gemini 2.5 Pro, which can be selected per use case from within the workspace. AI credits included in each plan power features like app generation, agent reasoning and tool use, automations, chat, document summarization, and image generation. This allows teams to automate complex workflows—such as lead routing, content production pipelines, or client onboarding—without writing code, while keeping everything grounded in the same underlying project data. Taskade differentiates itself by fusing project management, no-code app building, and multi-model AI orchestration in a single product, rather than as separate tools stitched together. Startups and remote teams can replace traditional task managers and separate automation tools by using Taskade to plan work, host client-facing portals, and run AI agents that execute recurring tasks on autopilot. The result is a workspace where notes, tasks, apps, and agents all share the same DNA, reducing friction between planning, execution, and automation.

• ✓Build a no-code CRM to track leads, pipelines, and client accounts inside Taskade and connect it to AI agents for follow-up suggestions.
• ✓Turn raw meeting notes into structured project plans with tasks, owners, and timelines using Taskade Genesis and AI-powered summarization.
• ✓Create a client portal app that surfaces project status, documents, and updates in real time, backed by Taskade projects as the data layer.
• ✓Design an AI agent that triages inbound support requests, drafts responses, and routes tickets to the right team members using automations.
• ✓Automate a content production workflow where AI generates briefs, drafts, and task checklists, moving items across Kanban stages until publication.

Start by defining your workspace structure: create projects for key areas like sales, operations, or client delivery and choose views (list, board, calendar, mind map, table, Gantt) that match each workflow. Use a clear natural-language prompt to generate your first Genesis app (for example, “Build a simple CRM to track leads from capture to closed-won with stages, owners, and follow-up dates”), then inspect and adjust the generated fields, views, and automations before rolling it out to the team. Configure AI agents for specific roles—such as “Sales Assistant,” “Researcher,” or “Customer Success Agent”—and connect them to relevant projects so they can read/write data and participate in tasks rather than staying as isolated chatbots. Set up automations to eliminate manual work: trigger flows on new records, status changes, or time-based events, and chain AI steps (summarize, classify, draft response) with standard actions (create/update tasks, send notifications, move items between stages). Monitor AI credit usage in the Billing/Usage section, and match model choice to task criticality: use cheaper/faster models for routine classification or drafting, and higher-end models (e.g., GPT-4.1 or Claude Sonnet 4.5) for complex reasoning or strategic planning to stay within plan limits. During team rollout, standardize a few canonical apps (e.g., company-wide CRM, project pipeline, content calendar) and teach users to clone and adapt those instead of each person building from scratch, which reduces fragmentation and prompt inconsistencies.

AI features are limited by monthly AI credits; intensive use of agents, automations, or heavy reasoning tasks can consume credits quickly and require upgrading to higher tiers. The system is opinionated around Taskade’s workspace DNA (projects, agents, automations), so teams with deeply entrenched tools or rigid workflows may need nontrivial migration and may not replicate every legacy process exactly. Cross-app automation is primarily designed to run within the Taskade ecosystem, so users seeking extensive third-party workflow orchestration (across many external SaaS tools) may still need dedicated automation tools. As Taskade relies on third-party frontier models, it inherits typical LLM constraints such as hallucinations, sensitivity to prompt phrasing, and potential latency for complex queries; careful prompt design and human review remain necessary for high-stakes use cases. Some advanced features (unlimited agents, higher credit ceilings, or enterprise security options) are only available on Pro, Business, or Enterprise plans, which may limit what small free-tier teams can automate at scale.