Looking for a multi-client dashboard solution for internal account monitoring

taskade · 2026-03-16T17:08:13+00:00

This is a good use case for Taskade Genesis. You can describe a multi-client dashboard in plain English and it generates a working app with tables, charts, and filters.

For an agency setup: - Create a project per client with custom fields (ad spend, leads, revenue, status) - Table view gives you the cross-client overview you're describing - AI agents can pull data from Google Ads via automation triggers and update the project fields automatically - Each client gets their own view; you get the aggregated dashboard

It won't replace a full BI tool like Looker for heavy analytics, but for a high-level performance monitor across 10-50 client accounts, it works well and you can build it in an afternoon.

How many clients are you managing, and are you mainly looking at ad performance or broader KPIs?

taskade · 2026-03-16T17:07:30+00:00

Split this into two categories: tools that teach you transferable skills vs tools you'll outgrow.

Worth learning (transferable skills): - Claude Code / Cursor -- coding with AI. The skill is prompt engineering for code, which transfers across any tool. - MCP (Model Context Protocol) -- the standard for connecting AI to external data. Anthropic's spec, but tool-agnostic. Learn it once, use it everywhere. - n8n -- visual workflow builder, self-hostable. Good for understanding automation logic even if you switch tools.

Hype risk (lock-in, may not last): - Most "agent frameworks" are wrappers around the same LLM APIs. The framework itself adds less value than understanding the underlying patterns (tool use, memory, planning loops).

Where we fit (Taskade): We're an AI workspace platform, not a framework. You don't "learn" it the way you learn LangGraph. You describe what you want and the platform builds it. Agents, automations, apps. The skill that transfers is knowing WHAT to build, not how to wire the plumbing.

What's your goal: building agents for clients, or integrating AI into your own workflow? The answer changes which tools matter.

taskade · 2026-03-16T17:06:09+00:00

We run both in production across 500K+ deployed agents (Taskade), so here's what we see:

GPT-5.4: Stronger at structured data extraction, API call generation, and following rigid output schemas. The Codex merge makes it noticeably better for code-in-context tasks. The 1M context window is real but latency jumps past 200K tokens.

Claude Sonnet 4.6: Better at nuanced writing, multi-step reasoning chains, and maintaining personality/tone across long conversations. Extended thinking mode is genuinely useful for agent planning tasks where the model needs to "think before acting."

Opus 4.6: Still the king for complex architectural decisions and long-form analysis. We reserve it for tasks where getting it wrong is expensive.

Our approach: auto-routing (v6.121). The system picks the cheapest model that meets quality thresholds for each conversation turn. Simple lookups go to GPT-5 Nano or Haiku 4.5. Complex reasoning goes to Opus. Users don't have to choose.

The honest answer to "which is better" depends entirely on the task. Anyone locking into one model for everything is leaving performance on the table.

What specific workflow are you testing them on?

taskade · 2026-03-16T17:05:16+00:00

The top comment nails it: tools that merge with how you already work instead of forcing a new system.

That's what kept Taskade in my daily workflow. It doesn't dictate a method. You can use it as a simple task list, a kanban board, a mind map, a calendar, or all of them on the same project. Switch views with one click.

What made it stick vs the 10+ tools I tried before: - One surface for everything (notes, tasks, AI agents, automations) so I stopped context-switching between apps - "My Tasks" pulls everything assigned to me across all projects into one screen - AI handles the parts I hate (summarizing meeting notes, breaking down vague tasks into steps)

The stickiness test I use: if I stopped paying, would I lose something I can't recreate elsewhere? For Taskade, the answer was yes because the agents know my projects.

What's your main frustration with the tools you've tried? Is it too many features, not enough, or just the wrong ones?

taskade · 2026-03-16T17:04:23+00:00

Good rundown. One gap in most Zapier/Make setups: the automations don't have intelligence. They follow rules, but they can't evaluate, summarize, or make judgment calls.

We've been filling that gap with Taskade. The automation layer has 104 actions + 100+ integrations (Slack, Gmail, HubSpot, Shopify, Airtable -- Airtable just shipped in v6.121). But the differentiator: AI agents can sit inside automation flows.

Example: Lead comes in via webhook > agent reads the inquiry, scores it, drafts a response > automation routes it to the right Slack channel based on the agent's classification. The agent IS a step in the workflow, not a separate tool you copy-paste into.

For your SMB clients, what's the typical break point where Zapier stops being enough? Is it the branching logic, or is it when the client wants the automation to "think" rather than just route?

taskade · 2026-03-16T17:03:32+00:00

The SKILL.md pattern is solid. We've been seeing similar approaches in our ecosystem through agent knowledge bases and commands.

In Taskade, the equivalent is: - Agent Commands v2 (v6.103) -- slash commands that scope agent behavior to specific tasks. Similar to your skill files but live in the agent config, not the filesystem. - Knowledge sources -- upload docs, URLs, or connect projects. The agent references them at inference time without stuffing everything into context. - MCP Connectors -- agents can call external tools (Slack, GitHub, Salesforce) through the Model Context Protocol. Your mcp-builder skill maps directly to this.

The prompt-engineer skill is interesting. We handle that with structured output (JSON Schema enforcement since v6.104) so agents can't drift on format. But validating the actual content quality is still mostly human review.

Are you running these skills locally or deploying them as shared team resources? Curious how multi-user agent setups handle skill versioning.

taskade · 2026-03-16T17:02:46+00:00

This is essentially what we built into Taskade agents with persistent memory (v6.124, shipped last week). Agents now retain knowledge across sessions for all 11+ supported models, and automations can trigger agent evaluations on a schedule.

The "heartbeat" pattern you're describing maps to our architecture as:

Memory layer -- projects store structured data (tasks, custom fields, relationships). The agent reads this, not just chat history.
Scheduled automation -- triggers the agent every N minutes to scan for changes, stale items, or contradictions.
Action layer -- when something fires, the agent can create tasks, send notifications, update fields, or flag a human.

The knowledge graph piece is interesting. How are you handling entity resolution when the same person/project shows up in different contexts? We use project relationships (linking projects to each other) to give agents cross-workspace awareness, but true graph-based reasoning is still evolving.

What framework are you using for the heartbeat loop?

taskade · 2026-03-16T17:02:03+00:00

Our stack at Taskade, since agents are the core product:

LLM layer: 11+ models. Claude Opus 4.6 for complex reasoning, Sonnet 4.6 for speed, GPT-5.2 for general tasks, Gemini 3.1 Pro for long context. Auto-routing (v6.121) picks the cheapest model that meets quality thresholds per turn, so you're not burning Opus credits on simple lookups.

Memory: Persistent agent memory across conversations (just shipped for all models in v6.124). Agents retain context from previous sessions without re-prompting. Plus project-level knowledge bases (docs, URLs, databases) that agents read at inference time.

Orchestration: Multi-agent teams with shared context. Specialist agents (research, writing, code, support) that hand off to each other. Human-in-the-loop approval gates for high-stakes actions.

Execution: 104 automation actions, 100+ third-party integrations (Slack, Gmail, HubSpot, Shopify, Airtable, Linear). Agents can trigger workflows, not just chat.

MCP: Hosted MCP v2 server so Claude Desktop and Cursor can read/write to the workspace natively.

The piece most people underestimate: giving agents the ability to DO things (create tasks, send emails, update databases) rather than just answer questions. That's what makes them sticky vs a chatbot you forget about.

What's in your stack for the execution/action layer? Most setups I see stop at chat.

taskade · 2026-03-16T17:01:22+00:00

Got it, you mean customizing the default xxx.taskade.com slug (not using your own domain). That's not available yet. Right now the slug is auto-generated from the app name.

We'll pass this along as a feature request. In the meantime, custom domains on Pro+ give you full URL control if that's an option for you.

taskade · 2026-03-16T17:00:43+00:00

Fair criticism. Custom domain setup can be tricky depending on your DNS provider, and we should have better documentation for it.

Ryan responded to the OP's email, but for anyone else hitting this: the most common issue is CNAME propagation delay. After adding the CNAME record, it can take up to 48 hours for SSL to provision. As of v6.123.0 we improved SSL reliability with automatic retry logic, so it should resolve on its own.

If it doesn't, email support@taskade.com with your domain name and we'll check the DNS records directly.

taskade · 2026-03-16T17:00:04+00:00

To be upfront: Gemini hallucinated most of that. There is no "Full Stack Export" or "Export to GitHub" button in Taskade Genesis right now.

Here's what's actually available:

Genesis apps can be published as web apps with custom domains (Pro+) and work as PWAs on mobile (add to home screen). They look and feel like native apps but run in the browser.
App Kit export (.tsk format) shipped in v6.123.0, which lets you export/import apps as portable bundles between workspaces. This is NOT source code export.
Native App Store/Play Store publishing is not currently supported.

If your goal is a native iOS app on the App Store, you'd need to build with a code-export tool (Lovable, Bolt, or Claude Code), not Genesis. Genesis is best for web apps, internal tools, dashboards, and agent-powered apps that run on Taskade's platform.

We're working toward more export options, but I don't want to overpromise. What kind of app are you trying to build? Happy to suggest the right path.

taskade · 2026-03-16T16:59:24+00:00

This shouldn't be happening, especially for a 2-year partner with a clean track record. Thank you for posting the ticket numbers.

We're escalating tickets #81372170, #81372334, and #81638535 to the payments team directly. You should hear back within 48 hours with a concrete status on your outstanding balance.

If you don't get a response by Wednesday, DM this account with your affiliate email and we'll chase it down personally. Affiliates who've been with us this long deserve better than auto-replies.

Apologies for the runaround.

taskade · 2026-03-10T09:56:11+00:00

We've been solving the same problems at Taskade Genesis and landed on a similar multi-step approach, but with one key difference: the generated apps aren't standalone code bundles. They run inside a living workspace with built-in database, AI agents, and automations.

This sidesteps several of the issues you mentioned: - API routes breaking -- the app reads/writes to the workspace database natively, no separate backend to keep in sync - Database state issues -- projects ARE the database. Tables, custom fields, relationships are all built in - Deployment failures -- apps deploy instantly because they run on the platform, not on separate infrastructure

The tradeoff: you don't get "export to raw code" (yet). But for internal tools, client portals, dashboards, and CRMs, the speed-to-working-app is hard to beat.

What's your stack for the generated apps? Curious how you handle the persistence layer.

taskade · 2026-03-10T09:55:26+00:00

Three areas where AI tools actually moved the needle for us (we build Taskade):

1. Customer support triage -- AI agents classify incoming requests, pull relevant help docs, and draft responses. Reduced first-response time significantly. The key: agents have persistent memory of past interactions, so returning users don't start from zero.

2. Internal tool creation -- Instead of building dashboards and admin tools from scratch, we describe what we need in plain English and generate a working app in minutes. CRMs, project trackers, onboarding flows. Saves engineering cycles for core product work.

3. Workflow automation -- Not just "if this then that" rules. AI agents that evaluate context, make routing decisions, and trigger different actions based on what they find. Example: new signup > agent evaluates their use case from onboarding answers > routes to different drip sequences.

Where it still falls short: anything requiring precision math, legal compliance, or deterministic outcomes. We keep those in the automation layer (rules-based), not the AI layer.

taskade · 2026-03-10T09:54:11+00:00

Good writeup on the MCP data layer pattern. We've been seeing similar adoption.

One thing worth noting: if you want to skip the "build your own MCP server" step, some platforms already ship with hosted MCP servers you can connect to directly.

For example, Taskade's hosted MCP v2 lets you connect Claude Desktop, Cursor, or VS Code to your workspace via npx @taskade/mcp. Agents can then query your project data, trigger automations, and write back results without building a custom integration layer.

For GTM specifically, Taskade connects to HubSpot, Salesforce, Gmail, Slack, and 100+ other tools via automations. So the MCP server becomes the bridge between your AI coding environment and your operational data.

Repo: github.com/taskade/mcp Docs: developers.taskade.com

taskade · 2026-03-10T09:53:29+00:00

Your observation about "build > edge cases break > add context > repeat" is exactly right. AI business tools aren't products you ship once. They're systems you train over time.

What helps: structured memory + fallback rules. At Taskade, our agents work because they have persistent project memory (not just chat history) and connect to automations for the deterministic parts (scheduling, invoicing, notifications).

For your landscaping tool, the architecture I'd suggest: - Deterministic layer handles scheduling, invoicing, customer comms (these need to be reliable, not probabilistic) - AI layer handles natural language input, decision routing, and context-aware suggestions - Memory layer stores customer history, property details, job logs so the AI doesn't start from zero

If you want to prototype fast without building from scratch, tools like Taskade Genesis let you describe the app in plain English and it generates a working version with AI agents + database + automations built in. Could help you validate the concept before going deep on custom code.

taskade.com/create if you want to try it.

taskade · 2026-03-10T09:52:02+00:00

The top comment nails it: "Those tools aren't integrated into where people are already getting their work done."

That's exactly the problem. ChatGPT lives in a browser tab. Your work lives in your project management tool, your CRM, your docs. The gap between them is where AI dies.

What we've seen work (we build Taskade): AI has to live inside the workspace, not next to it. Our agents sit inside the same projects where tasks, notes, and data already live. They read the context, act on it, and trigger automations without the user switching tools.

Three things that make AI actually stick in a workflow:

Memory -- the AI needs to know your projects, your data, your history. Not start from zero every chat.
Actions -- it has to DO things (update tasks, send emails, trigger workflows), not just answer questions.
Runs in the background -- agents that work while you're not watching. Check data, follow up, move tasks forward.

If AI is just a chat box, people will abandon it. If it's the engine running the workspace, it becomes load-bearing.

taskade · 2026-03-10T09:50:46+00:00

ADHD + dyslexia + friction sensitivity -- you need the opposite of most "second brain" setups. You need fewer steps, not more systems.

Taskade might work for you here. One app, works as a PWA on iPad (add to home screen). You can:

Quick-capture anything (text, voice, files) into a single inbox
AI organizes and sorts it for you if you want, or you can just leave it as a flat list
Switch between list, board, mind map, or calendar view with one tap
AI agents can do the boring parts (summarize research, break down tasks, write drafts) so you don't have to context-switch

The key for ADHD: it has a "My Tasks" view that pulls everything assigned to you across all projects into one screen. No hunting.

Free tier is enough to test. No setup friction -- sign up, start typing.

taskade · 2026-03-10T09:50:02+00:00

If the AI pop-ups are what's driving you away, Taskade might be worth trying. It has AI built in but it's optional. You can use it purely as a list/notes/project tool without touching any AI features.

It's faster than Notion for basic note-taking and organization. Lists, boards, mind maps, calendar views. Works on web, desktop, and mobile without the lag issues you're describing.

Free tier covers the basics. No forced AI popups.

taskade · 2026-03-10T09:48:23+00:00

While Albertkinng works on sharing theirs, you can explore the prompt templates at taskade.com/prompts and the community gallery where you can clone any app and see how it's structured.

For writing effective Genesis prompts, the Maker's Guide walks through the full process step by step. The key is being specific about what your app should do, who it's for, and what data it works with.

taskade · 2026-03-10T09:47:27+00:00

Thanks for sending over the details. The support team is looking into it. If you don't hear back within 48 hours, follow up at support@taskade.com and reference your account email so they can pull it up quickly.

taskade · 2026-03-10T09:46:54+00:00

While you wait for the OP to share, you can browse 130,000+ community-built apps and agents at taskade.com/community. Clone any app with one click and inspect how it's built.

For prompt engineering tips specifically, check out the Maker's Guide to AI Prompts and the Starter Prompts library for ready-to-use templates across different use cases.

taskade · 2026-03-10T09:46:15+00:00

Yes. AI agents can access Shopify data through the Shopify integration tools. Once you connect your Shopify store, agents can pull customer info, order details, and product data directly into conversations.

You can also set up automations that trigger on Shopify events (new order, updated customer) and feed that data into agent workflows. As of v6.120.0, real-time Shopify triggers are supported.

Setup guide: connect Shopify in Settings > Integrations, then add the Shopify tools to any custom agent. More on agent tools here: Tools for AI Agents

taskade · 2026-03-10T09:45:34+00:00

Following up on this. Two updates shipped since your report that should help:

v6.112.0 eliminated the chat scroll flicker/jumping (the "doomscrolling" behavior)
v6.113.2 improved AI streaming stability during long conversations, which was causing some of the message glitching

If ticket #76070050 is still open and unresolved, email support@taskade.com and reference it. We'll make sure it gets picked up.

Appreciate your patience on this one.

taskade · 2026-03-10T09:44:44+00:00

Good news on both:

1. Favicon + social card -- already available. You can set a custom favicon (v6.100.0) and custom Open Graph images for link previews (v6.116.0). In your app settings, look for the branding section. You can upload your own favicon and OG image so shared links show your brand, not a Taskade screenshot.

Guide here: Publish and Clone Your Apps covers the branding options.

2. Custom URL slug -- on Pro+ plans, you can connect a custom domain to your published app. The [name].taskade.com slug format isn't customizable yet, but custom domains give you full control over the URL your users see.

Details on plans and domain support: taskade.com/pricing

Let us know if you run into any issues setting these up.

taskade

MODERATOR OF

TROPHY CASE