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TextCortex

AI writing and knowledge base connected to your data

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What TextCortex is

A writing assistant that carries your knowledge with it. At the surface it rewrites, summarises and expands text wherever you type in the browser. Underneath, custom agents connect to company data sources, so output reflects the business context rather than generic training.

That combination targets the common complaint that AI writing does not know the company: the agents retrieve internal material while composing.

What you can do with it

  • Rewrite, summarise and expand text inside browser text boxes
  • Build custom AI agents for recurring writing tasks
  • Connect internal data sources for context-aware output
  • Generate customer service replies and reports
  • Answer internal knowledge questions in natural language

Who it is for

  • Customer service and sales teams with heavy writing volume
  • Knowledge managers unifying scattered company information
  • Operations teams automating recurring text production
  • Enterprise teams needing context-aware drafting

What to watch out for

  • Connected agents see company data; scope permissions and review the data processing terms
  • Business-context output can confidently repeat errors in the source material
  • Enterprise deployment needs admin planning for user provisioning
  • Agent quality depends on the state of the knowledge sources feeding them

Pros & cons

✓ What we like

  • Writing help inside existing tools, not a separate app
  • Agents grounded in company data
  • Covers customer service, sales and operations writing
  • Reduces generic AI output

! What to watch out for

  • Data connection requires governance
  • Agent maintenance is ongoing work
  • Enterprise setup is not instant

FAQ

Where does it work?

Inside common online text boxes in the browser, plus a dedicated platform interface.

What do custom agents do?

They connect to company data sources to produce context-aware replies, reports and content.

Who is it for?

Teams that write at volume and want AI output grounded in their own business material.

Last reviewed: 2026-09-15

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