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Plans overview

Chatline has four documented plans:

  • Free
  • Starter
  • Business
  • Scale

The practical upgrade logic is not mysterious:

  • Free is for a real start
  • Starter is for one serious line
  • Business is for more lines and more throughput
  • Scale is for multiple public surfaces and heavier volume
PlanPriceLive linesMessagesAI creditsKnowledge base
Free$0/mo150/day150/mo5,000 chars
Starter$99/mo15,000/mo5,000/mo25,000 chars
Business$199/mo315,000/mo15,000/mo100,000 chars
Scale$399/mo1050,000/mo50,000/mo250,000 chars

Annual pricing is documented separately for paid tiers.

The public docs clearly establish that higher plans change:

  • how many live lines you can operate
  • how much conversation volume you can support
  • how many AI responses you can fund
  • how much source material each line can hold

Those are the hard documented differences.

Use Free when the line is still being proven:

  • one public line
  • low daily traffic
  • early habit formation
  • early validation

Free is useful when you need to know whether people will actually use the line.

Starter is the first paid operating tier.

It makes sense when:

  • one line is already real
  • free limits are too small for the traffic
  • the line is now part of real public inbound

Business matters when one line is no longer enough.

Typical reasons:

  • separate lines for different surfaces
  • separate lines for people, projects, or campaigns
  • a meaningful step up in throughput

Scale matters when you are operating multiple public surfaces with real volume.

This is where the line starts behaving less like a single experiment and more like a managed network of public conversation endpoints.

The docs do not fully justify stronger claims like:

  • guaranteed conversion gains
  • guaranteed operator visibility benefits beyond the described dashboard
  • enterprise governance promises not explicitly listed

So the clean way to think about upgrade is:

pay when the documented limits and line-count differences become operationally relevant