Coming soon
Specialized AI agents for structured work
Cortexium lets you compose specialized AI agents that work with your tools and data.
What Cortexium is
- A way to compose specialized AI agents into step‑by‑step workflows.
- Agents with clear inputs and outputs.
- Agents that can run standalone or as a team, and call other agents.
- Teams of agents and tools with less setup than full workflows.
- You decide how work flows - avoiding “one agent with every tool” guesswork.
- You can add checks and optional human approvals.
- Connect agents to systems via APIs and custom functions.
What it isn’t
- Not a chat toy.
- Not a “prompt wall” that tries to do everything.
- Not a thin LLM wrapper.
- Not a promise to replace your team.
- Focus is on clear interfaces and traceability.
Problems we focus on
Where agents actually help
Multi‑step tasks across tools
Work that spans several steps and services.
Glue work between apps
Move, transform, and hand off data.
AI + rules in one process
Language tasks with checks and logic.
Human approvals in the loop
Steps that require review, sign‑off or human-in-the-loop involvement.
Automate repetitive tasks
Run the same operation many times, with oversight.
Data in / data out across systems
Pull, enrich, validate, and push back.
Patterns
Common ways to use agents
Each one starts simple and scales with your tools, teams, and checks.
- Use your APIs, MCP tools, and custom functions with typed inputs/outputs
- Do one job well: a focused mission, clear boundaries, and predictable results
- Call other agents for specialized sub‑tasks and return neatly packaged outputs
- Great for: enrichment, routing, retrieval, transformations, and basic automations
- Manager agents coordinate tasks; specialists handle the focused work
- Interfaces and handoffs are explicit so each role stays simple and swappable
- Shared context/memory when needed; isolation where it matters
- Lighter than a full workflow, but more powerful than ad-hoc prompts
- Start/Triggers: webhook, API, MCP, schedules, or events
- Work: agents, custom functions, and specialized nodes (search, retrieval, PDF/image, speech)
- Calls: talk to tools via MCP, direct APIs, or outgoing webhooks
- Control: routing, branches, retries, and validations
- End: structured outputs to your apps, systems, or human review
The big building blocks
Specialized agents
Use tools (APIs, custom functions, MCPs, and other agents). Clear inputs/outputs. Run standalone or in teams; agents can call other agents.
Teams
Group agents and tools around a goal. Lighter setup than full workflows. Good for quick starts and exploration.
Custom functions
Add custom, deterministic code when rules or transforms are needed. Use when AI alone isn’t enough.
Workflow Builder
Compose agents and functions into step‑by‑step flows. Add checks and approvals. Designed to support human handoffs (Slack, Trello, GitHub, email, etc.). Intended to fit existing processes with complex triggers and outputs.
API integrations
Connect to your systems via standard APIs with structured inputs/outputs. Follow common auth patterns. Access Cortexium via API.
MCPs
Use Model Context Protocol–compatible tools to expose capabilities to agents in a standard way. Cortexium exposes MCP server(s) for easy integration.
How it fits
From inputs to outcomes
Assistive AI
Ask for help, keep control
Assistive AI
Ask for a custom function from a plain description; review and edit before use. You’ll see typed inputs/outputs, safe defaults, and examples before adding it to your project.
Ask for a workflow step or the wiring between tools; see options and trade‑offs. Choose from suggested nodes and connectors, then tweak the graph like any other step.
Ask for explanations of what an agent or step is doing. Get plain‑language summaries with links to the relevant inputs, decisions, and logs.
You stay in control: accept, edit, or decline suggestions at any time. Nothing changes or runs until you confirm, and assistive features are optional per workspace.
FAQ
Ways to connect
Integrations & access
Practical paths to use Cortexium with your stack today—keep your tools, data, and workflows.
Call via API
- REST endpoints with structured JSON inputs/outputs
- Start sync or async; use webhooks for callbacks
- OpenAPI documentation
Use MCP tools
- Connect Model Context Protocol–compatible tools
- Standardize capabilities exposed to agents
- Cortexium exposes MCP server(s) for easy integration
Bring your tools & auth
- Connect to APIs you already use
- Common auth patterns (API keys, OAuth)
- Keep keys and data in your systems
Custom functions
- Add deterministic code when rules matter
- Typed inputs/outputs with examples
- Reuse across agents, teams, and flows
Triggers & outputs
- Start from webhooks, schedules, or events
- Send results to Slack, Trello, GitHub, email or other services
- Or call back into your services via API
Checks, logs, approvals
- Validations and routing with clear failure paths
- Logging for decisions and tool calls
- Optional human‑in‑the‑loop reviews
Stay in the loop
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