TDo gives you a team of 35 specialized AI agents organized into 7 functional teams. Assign a goal. Your AI team orchestrates the work, executes in parallel, and delivers results. Built for founders who want to move faster without hiring.
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Maker
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Hi Product Hunt! š
We're the team behind TDo ā and we're excited to share something we've been building for the past 40 days.
The problem we're solving
Every founder knows the feeling: your to-do list has 100 items, but you only have bandwidth for 10. AI tools help you do things faster ā but you still have to do them yourself.
ChatGPT, Claude, Notion AI ā they're copilots. You're still the pilot. Still the planner. Still the executor.
We asked: what if you didn't have to be?
What TDo actually does
TDo gives you an AI workforce ā 35 specialized agents organized into 7 functional teams:
šļø Product & Tech Team ā backend, frontend, architecture agents
š Market Intelligence Team ā research, analysis, competitive intel
šÆ Marketing Team ā content, SEO, social, brand agents
āļø Operations Team ā legal, finance, compliance, admin agents
š¼ Sales Team ā outreach, pipeline, CRM, proposal agents
šØ Design Team ā UI/UX, visual, asset creation agents
š¤ Customer Success Team ā support, retention, onboarding agents
You assign a goal (not a prompt). Your orchestrator agent plans the work, assigns tasks to the right agents, runs them in parallel, and brings you the result.
Two ways to assign work
Team Mode ā "Market Intelligence Team: research our top 3 competitors and give me a positioning report" ā orchestrator takes over, you check back when it's done
Direct Mode ā "Outreach Specialist: draft a cold email to this VP of Engineering" ā skip planning, get output immediately
How we built it in 40 days
We shipped TDo in 40 days, dogfooding it aggressively. The market intelligence orchestration you see in the product was literally used to research the market while building the product. That recursive loop kept us honest.
Tech stack: Vue 3 + Spring Boot + Python (orchestrator microservice) + LLM routing layer.
What we'd love feedback on
Orchestration UX: Does the "assign to team vs. assign to agent" mental model feel intuitive?
Agent specialization: Are the 7 teams / 35 roles the right breakdown? What's missing?
Trust calibration: How do you build trust in AI output enough to actually delegate vs. just review?
We're actively iterating and every comment will be read by the founding team.
Thank you for the upvotes and support. Let's go build faster š
ā Keco & the TDo team