Day-1 readiness

Knowledgeable. Executing. In 10 minutes.

A short guided interview is all it takes. Cortex extracts and compiles your company knowledge, wires your channels and tools, and queues your scheduled workflows. Your agent arrives ready to work — not ready to be configured.

10-min avg deployKnowledgeable day 1BYOK encrypted
compiling knowledgeacme-inc · day 1
10:00
avg time to live agent
[ 01 · The problem ]

Most AI agents arrive ignorant.

Stand up an LLM, paste a prompt, and you have a chatbot that doesn't know your company. Getting it useful is the real work — and Cortex closes that gap on day 1.

The hard part of AI agents isn't starting — it's getting them informed enough to be useful. Who you serve. What you've decided. How your team works. Your tools, your voice, your goals.

Without that context, every conversation is a re-introduction. The agent that “helps” today doesn't remember what it learned yesterday.

Typical setup gap
  • Document everything for the system prompt
  • Maintain context as the company changes
  • Wire up integrations one by one
  • Set up scheduled jobs for recurring work
  • Build memory + retrieval from scratch
  • Add channel adapters
  • Glue secrets management together
  • Keep everything in sync forever
[ 02 · Split of work ]

What happens when you sign up.

You answer questions about your business. Cortex compiles your knowledge, wires your tools, and queues your workflows — in parallel.
You do
  1. 01Create your account and name your first agent
  2. 02Walk through the AI-guided knowledge interview (5 sections, ~10 min)
  3. 03Connect your communication channels (Slack, Gmail, Telegram)
  4. 04Provide your LLM API key — encrypted immediately
Cortex does · in parallel

All 8 components compile and wire while you answer the interview. By the time you hit submit, your agent already knows your company and is ready to execute.

  • [01]Company context
  • [02]Team & roles
  • [03]Tools & access
  • [04]Goals & priorities
  • [05]Persona
  • [06]Channel integrations
  • [07]Scheduled workflows
  • [08]Agent liveLive
[ 03 · What your agent knows or does on day 1 ]

Eight things compiled and wired while you onboard.

StepComponentDetailStatus
[01]Company contextProducts, ICP, positioning, voice — extracted from your interview.Auto
[02]Team & rolesWho does what, ownership areas, escalation paths.Auto
[03]Tools & accessYour stack, integration credentials, what each tool is for.Auto
[04]Goals & prioritiesCurrent OKRs, north stars, what matters this quarter.Auto
[05]PersonaVoice, tone, boundaries, escalation rules.Auto
[06]Channel integrationsSlack, Gmail, Telegram — wherever your team works.Auto
[07]Scheduled workflowsDaily digests, triage, reports — queued and ready to run.Auto
[08]Agent liveKnowledgeable, wired in, and executing.Live
[ 04 · What your agent knows on day 1 ]

Org knowledge shared. Role knowledge layered.

Every agent on your team shares the same org-level foundation. Each one then builds a bespoke knowledge layer for its role — so your second AI teammate starts informed, not from scratch.
Org-level knowledge · shared across all agents
  • Company overview — what you do, who you serve
  • Products and services — features, pricing, positioning
  • Ideal customer profile and common objections
  • Brand voice, tone, and communication style
  • Goals and priorities for the current quarter
Role-specific knowledge · layered per agent
  • Role-specific context (sales, CS, recruiting, marketing)
  • Tools and systems relevant to that role
  • Escalation rules and decision-making authority
  • Contact ownership and relationship context
  • Previous decisions and playbooks for the role
[ 05 · Continuous improvement ]

Your agent gets smarter automatically.

Every conversation deepens what your team knows. Cortex ships improvements continuously — no maintenance, no migration, no action required.
  • Every conversation deepens shared org knowledge
  • Role-specific memory layers grow with every interaction
  • Cortex improvements ship continuously — no action required
  • New integrations and workflows added without migrations
[ 06 · DIY comparison ]

What you'd need without Cortex.

Getting an AI agent useful and maintained manually takes 6–10 weeks. Here's the breakdown.
TaskDIY timeCortex
Document company context for the system prompt4–8 hrsGuided interview
Build memory + retrieval layer1–2 weeksBuilt-in
Wire channel adapters (Slack, Gmail, etc.)1–2 weeksOne-click
Build scheduled workflow runner1–2 weeksBuilt-in
Implement BYOK secrets pipeline1–2 daysVault
Build observability + auto-recovery1–2 weeksBuilt-in
Keep knowledge in sync as the company changesOngoingAutomatic
Maintain everything foreverOngoingContinuous updates
Total~6–10 weeks~10 minutes
[ 07 · Built for non-technical teams ]

Marketing, sales, and support — ready in 10 minutes.

01

No re-explaining yourself.

Your agent knows your company from the first conversation.

02

No system prompt engineering.

The interview translates business context into structured knowledge.

03

No maintenance.

Updates, new knowledge, and improvements run on the platform.

04

No DevOps ticket.

Everything happens through a guided web interface.

Your first AI teammate is 10 minutes away.

No blank-slate chatbot. No re-explaining yourself. Just a teammate that already knows your company.