DirectorHub — Director Mode

CASCADE · SHARED CONTEXTRound 1

Director

Review this architecture for scale and security.

Claude Lead Architect1

Event-driven core scales well, but the sync write path is a bottleneck under load.

ChatGPT Lead Developer2

↳ builds on Claude

Agreed — I'd move writes behind a queue and make the API idempotent.

Grok Security Critic3

↳ builds on Claude + GPT

The queue needs auth between services, or it becomes the new attack surface.

Why multi-agent

From uncertainty to the best solution

The more perspectives you can coordinate, the faster you converge on a complete, reliable decision.

Human solo

⏱Slower ?More uncertainty ✕No review

One person taking a long, tangled path toward a target

You can build a solution alone, but every assumption goes unchecked.

Human + 1 AI

⚡Faster ✦AI support ⚠Still risky

A person with one AI taking a shorter path with checkpoints toward a target

One model speeds up research and coding, but it can still miss context or reinforce the wrong direction.

Recommended

Human + multi-agent AI

⤳Fast convergence ⛨Cross-check ★Fuller picture

A director coordinating multiple AI agents that converge on a target

Several agents challenge, extend and verify each other's answers while you steer them to a shared decision.

Far from goalhigh uncertainty, low completeness

Goal: best solutionlow uncertainty, high completeness

Three ways to run the room

You direct the conversation, not a black box

Pick a mode per question. The whole team shares one memory, so every answer builds on the last.

PANEL

ABCD

All selected agents answer in parallel — fast, independent perspectives.

CASCADE

A→B→C

Each agent sees the previous answers and builds on them — consensus and review.

DIRECT

Ask one expert by name. The rest catch up on the next round.

@EXECUTOR

@→</>

Not the panel — hand a task to your connected coding agent. It does the work and reports back to the timeline.

More than chat

A command center, not another tab

⬡

Personas, not just models

Give each model a role, expertise and refusal rules across six dimensions.

▤

Decision Log

Every architectural call recorded ADR-style — problem, options, decision.

↺

Session Resume

Come back and the team tells you exactly where you left off.

◷

Cost tracking

Tokens and spend per agent, per run — no billing surprises.

❏

Files & code

Attach files, snippets and images — they become shared session context.

⚷

Your keys, your data

BYOK via OpenRouter. Runs local-first — keys never leave your instance.

Transparent costs

Your key. Your rates. Less usage.

⚷

BYOK — no markup

You pay model providers directly with your own key (OpenRouter — one key, all models). DirectorHub adds no token markup and never stores your key server-side.

▦

Context caching

Multi-round sessions cost less than the sum of single queries: DirectorHub shapes payloads for model prompt caching (Claude, GPT, Gemini, Grok), so repeated conversation context is billed at cache rates, not full price. Your in-app meter shows exactly how much you save.

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Execution on your subscription

The heaviest work — code execution — rides the bridge on your Claude subscription (Max/Pro), not on tokens. Advisors cost cents; the executor costs nothing extra.

Stop juggling AI tabs.
Direct your AI team.