One prompt. Entire workflows. Zero app-switching.
In a single conversation it can check the weather, conditionally trigger a product search, send a payment, apply for a loan, style a complete outfit, take notes you can recall later, and remember all of it next time — learning your preferences along the way. It's not a chatbot. It's the operating system for your users' daily lives.
Ask it to find a dress and send £200 to your mother and Codexta recognises two separate domains — splitting the work into isolated task frames, each loading only the tools it needs: retail tools for shopping, banking tools for the transfer.
Banking tools never enter a retail context. Retail tools never touch a payment. Each task frame is isolated and purpose-built — one agent that specialises on demand, without a single line of configuration.
This isn't a personal notepad — it's an enterprise knowledge engine. Codexta searches through gigabytes of stored documents using hybrid keyword and vector retrieval, finds the relevant sections across multiple files, extracts the facts, summarises them, and presents the answer with links back to every source.
Ask "What was Very Group profit over the last two years?" — even when 2024 and 2025 live in separate reports — and Codexta locates both, pulls the profit figures, combines them, and cites very-group-2024-report and very-group-2025-report as sources. No single document needs the full answer. The agent assembles it.
One instruction. Codexta checks the conditions, makes the decision, finds what's needed, and moves the money — all before you've finished your coffee. Conditional logic. Cross-domain chaining. Real outcomes.
This is what separates a conversational assistant from a genuine AI agent.
Product prices, availability, account balances, weather — all pulled live from real APIs. If it can't verify it, it won't say it. Your users will trust it, because it earns that trust on every response.
Codexta learns how users like to work and saves it — globally, or scoped to a specific domain like weather, banking, or shopping. Preferences persist across sessions and update on request. No settings screen required.
When a user signs in, registers, or authenticates, the password never reaches the language model in plain text. It's encrypted the moment it's entered, held in session-only memory, and used at the real value the model never has access to.
Sealed end-to-end — closing an entire class of prompt-injection and credential-leak risk that affects most agent platforms today.
Drop in a PDF, Excel spreadsheet, or PowerPoint deck. Codexta reads every page, chunks each section, and indexes it with hybrid BM25 + vector search — instantly queryable, cited back to the exact page and row.
It doesn't just read once. It stores findings in a persistent knowledge base so documents uploaded today answer questions asked next month — no re-uploading, no re-reading, no re-explaining.
Codexta splits every request into isolated task frames. Each frame loads only its domain tools and the exact context that step requires — then passes a single result back. No bloat, no bleed-through, no contamination between domains.