01 · cloud-first
Start instantly
No local setup, no infrastructure work, no complex environment prep before you can begin.
- Great for solo developers testing quickly
- Great for small teams with limited ops bandwidth
Always-on cloud agent workspace
Keep cloud AI agents moving your development work forward.
Multica turns scattered AI coding sessions into a durable task flow for ongoing development work. Create tasks, assign them to agents, track progress, and reuse skills inside one lightweight workspace instead of juggling temporary prompts across multiple chat windows.
Instant cloud access
Starter from $10 / month
Built for repeatable development workflows
Bug fixes, tests, docs, and refactors
best-fit users
Solo
Solo builders can hand repeatable work to cloud agents and stay focused on product decisions.
team size
2-10
Small teams can share progress, skills, and outputs without adopting a heavy internal system.
starter price
$10
Use a low-friction entry point to prove value, then grow with usage and concurrency needs.
core promise
Momentum
Move from one-off prompts to a repeatable workflow that keeps useful work in motion.
Core value layer
A lightweight SaaS site still needs to sell a very clear value story.
This site is not selling “more chat windows.” It is selling a cloud AI agent workspace that keeps tasks moving. The structure follows your business plan: value first, workflow second, use cases third, then pricing and launch conversion.
02 · task flow
From prompts to task flow
Work gets created, tracked, reviewed, and reused instead of disappearing into chat history.
- Better for multi-task workflows
- Better for post-task review
03 · skill reuse
Turn good work into reusable skills
Capture repeatable workflows so individuals and teams can stop starting from zero every time.
- Reduce quality drift between runs
- Improve speed on repetitive work
04 · team visibility
Make progress visible
See who is doing what, what agents are running now, and what outcomes are worth saving.
- More order for solo work
- Smoother collaboration for small teams
How it works
Break the workflow into detailed steps so conversion feels easier.
Instead of a vague three-box explanation, this section maps the product into a concrete flow. You can later reuse the same sequence for onboarding, product demos, ads, and lifecycle emails.
Create a workspace
Start with one lightweight place for your goals, active tasks, working notes, and collaborators.
- Useful for solo devs managing multiple threads
- Useful for small teams sharing one task surface
Pick a scenario or skill
Launch faster with reusable workflows instead of writing every prompt from scratch.
- Bug fixing
- Test coverage
- Docs cleanup
Let the agent keep running
Tasks move through an execution flow instead of waiting for constant human re-prompting.
- Better for context switching
- Better for multi-step work
Review progress and outputs
Check status, recent outputs, working history, and which outcomes should be reused later.
- Less ambiguity about what AI actually did
- Easier handoff inside a small team
Turn wins into assets
Save what worked as repeatable skills, templates, and team practices for future runs.
- Useful for solo efficiency
- Useful for stable team delivery
Use-case preview
Use cases are not decoration. They are conversion entry points.
Solo developers and small teams do not pay for abstract platform language. They pay for clearer outcomes. That is why the site needs scenario language users can immediately map to their own workflow.
Clear the last-mile issues before launch
Bundle small bugs, broken states, copy fixes, and UI cleanup into a single launch-ready task stream.
Bug fixes
Regression checks
Launch prep
Add missing test coverage without losing momentum
Use agents to fill in edge cases, regression checks, and basic safety nets around existing features.
Test coverage
Risk checklist
Edge cases
Share docs and standards instead of rewriting them by hand
Turn README updates, launch notes, module docs, and internal practices into shared team assets.
Documentation
Shared knowledge
Skill library
Break refactors into visible, trackable movement
Keep human judgment on direction, and let agents push repetitive cleanup, naming, and structural work.
Refactor
Cleanup
Team collaboration
Pricing snapshot
Keep the pricing story simple so the buying decision feels lighter.
The structure follows your plan: Starter, Pro, and Team. The homepage gives the overview. The pricing page handles the deeper package explanation and comparison.
Starter
A low-friction entry point
$10
/ month
Built for solo developers who want to test continuous task flow without a heavy commitment.
- 1 workspace
- 1 member
- Base monthly task quota
- 1 concurrent agent task
Pro
For high-frequency individual users
$29
/ month
Higher usage, more concurrency, stronger history, and better control for people using AI every day.
- Higher task quotas
- More concurrent runs
- Custom skills
- Priority execution
Team
A shared workspace for small teams
$99
/ month
Designed for 2-10 person teams that want shared task flow, shared skills, and shared visibility.
- Team workspace
- Shared skill library
- Higher concurrency
- Basic member management
Definition + GEO
A definition page is not filler. It is SEO and GEO infrastructure.
If you want long-term search visibility and answer engine visibility, you need a stable concept that can be indexed, quoted, and understood. Multica is not just another AI tool. It is a cloud AI agent workspace.
why this term works
Why “workspace” is the right word
It tells users immediately that this is where tasks, progress, outputs, and reuse live together.
what it includes
What it should include
- Task creation and assignment
- Ongoing agent execution
- Visible history and outputs
- Reusable skills and templates
what it is not
What it is not
- Not a heavy enterprise governance suite
- Not a self-hosting product
- Not just a chatbot
- Not a one-answer coding assistant
who it fits
Who it fits best
- Solo developers
- 2-10 person teams
- People already using AI coding tools heavily
- Teams that want speed without infrastructure work
FAQ for conversion
Users mostly want to know how this differs from what they already do today.
Why not just use an IDE agent directly?
Because once tasks start piling up, ad hoc chat loses structure. Multica gives tasks, progress, results, and reusable skills a shared home.
What kind of work fits best in Multica?
Bug fixes, test coverage, docs updates, release prep, and refactor cleanup all fit well when they need visible progress and reusable workflow structure.
How is this different from a chat-only AI tool?
Chat tools answer one message at a time. Multica is built to hold tasks, status, outputs, and reusable workflows across ongoing work.
Why start at $10 per month?
The goal is to make the first paid step easy. Starter is priced to help users feel the value of continuous task flow before they need a bigger plan.
Start with clarity
Less back-and-forth prompting. More steady delivery.
If you are already using AI to write code, the next upgrade is not another window. It is a workspace that keeps tasks moving.