Speed
From idea to execution, fast
Speak your briefing, trigger a workflow by keyword, run agents in parallel. No more time lost to re-briefing and copy-paste between chats.
Features / Overview
A layer above your AI.
No more task → new chat → context gone → start over. boostN lifts you to the control layer: fast, at scale, and with a safety net that keeps the AI on track.
No context-switch Bulk production Deterministic workflows
The old way
Sound familiar? Every task a new chat.
You explain the same context for the tenth time. You jump between 20 tabs. The AI forgets what you decided last week. And at every step the quiet fear: is it going off the rails right now?
Without boostN
- ✗ A new chat for every task, context explained over and over
- ✗ Knowledge scattered across dozens of chats — nothing findable
- ✗ The AI improvises on critical steps
- ✗ One project after another, manual, slow
- ✗ No trace of what the AI actually did
With boostN
- ✓ One control layer above it all — you brief once
- ✓ RAG keeps project knowledge ready for every agent
- ✓ Fixed workflows & gates instead of improvisation
- ✓ Many projects in parallel, bulk via pipeline
- ✓ KIDOKU documents every step, traceably
What matters
Fast. At scale. And still safe.
Exactly the three things that otherwise rule each other out when working with AI — boostN brings them together.
Scale
Many projects. Bulk production. In parallel.
One table with 50 jobs, one click — the pipeline works through every row. Several projects run at once, without you losing track.
Safety
A net that keeps the AI on track
RAG context, fixed guardrails, confirmation gates and documented workflows interlock — the AI doesn't improvise, it follows your rules.
Your safety net
Five layers between you and an AI gone off the rails.
Each layer wraps around the AI's work. Together they make sure execution follows your rules — not chance.
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RAG System
The AI always knows where it is
Your project knowledge — docs, decisions, code context — is indexed and handed to every agent: which area it's working in, what has already been decided. No briefing from scratch, no hallucinating from ignorance.
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Guardrails & Rules
Your guidelines are set
Per area you store rules and conventions. The agent gets them at every step and sticks to them — instead of deciding by its own judgment each time.
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Confirmation Gates
Critical things only happen with your OK
For hard-to-reverse actions — data deletion, deployment, migration — the AI stops and asks for your confirmation. You work out together with the system how the flow should run.
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Deterministic Workflows
Same flow, same quality
Critical tracks like DB migration or deployment run in fixed, vetted steps — triggered by keyword via the MCP server. Nothing left to chance, nothing improvised, reliable every time.
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KIDOKU Quality Layer
Every step documented & reviewed
Our quality layer logs and reviews what the AI does — traceable over days and weeks. At the same time it minimizes tokens and increases speed, without sacrificing quality.
−75 %
Input tokens
via targeted RAG instead of "everything into context"
+50 %
Startup speed
faster start vs. the default setup
Sonnet → Opus
Output quality
smaller model, large-model results
All features
Every feature built because we needed it ourselves.
Sorted by what you want to achieve — not by technical modules.
Steer, don't switch
You stay at high altitude and set the direction — the orchestrators carry out the work.
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Multi-Agent Orchestration
Multiple agents work in parallel — each on its own worktree, without getting in each other's way. You steer from above instead of drowning in countless chats.
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Vision Board
Your command center: strategy, products and individual projects cluster onto one board — all in parallel, in one place.
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AI Module & KIKI
KIKI is built into every part of the app and always has the full project context. Ask right inside the module you're working in — never brief from scratch again.
Speed
Visibly faster from the first idea to finished execution.
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Speech to Text
Integrated into every module: dictate instead of typing. Especially for long trains of thought, speaking gets you into execution far faster.
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Prompt Flow Designer
Build prompts that trigger specific AI tasks: Bug Fixer Refactor Master Lead Architect — freely combined, saved per project, instantly reusable.
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Quick Tasks
Recurring steps as a one-click action. What you need often is right at hand — instead of rephrasing it every time.
Scale
Produce a lot from one template in a fixed order — structured and in series.
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Table Module
Bulk work in tables: 50 rows, each a job. One click starts the pipeline — 50 finished pieces at consistent quality.
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Bulk Forge
Define the track once — research, structure, copy, format — and forge publication-ready pieces off it in series, on a production line.
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boostN Pipeline
The heart of bulk production: jobs into the queue, the AI works through them autonomously — row by row, while you turn to the next idea.
Safety Net
So the AI stays on track: knowledge, guardrails, gates and documentation interlock.
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RAG System
Project knowledge indexed and at hand for every agent. The AI works with real knowledge instead of hallucinations — across sessions and weeks.
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Deterministic Workflows
DB migration, commits with security check, mandatory docs, refactoring — fixed steps by keyword. Quality gates kick in before anything is committed or deployed.
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Create Your Own Agents
Knowledge components provide the content, the Prompt Flow sets the behavior, RAG enriches with context. Every agent gets exactly the knowledge and rules for its area.
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KIDOKU Quality Layer
Every AI step is documented and reviewed — traceable, drift-free, at minimized tokens and higher speed.
How it runs reliably
You steer from above — the rest runs in a loop.
One run that repeats: direction in, vetted result out. Again and again, over days and weeks.
- 01
You set the direction
Speak or type what should happen — at project level, not in a detail chat.
- 02
Orchestrator plans
The AI breaks down the task and pulls the right workflow with RAG context.
- 03
Agents execute
In parallel on their own worktrees — code, content, research, whatever the run demands.
- 04
Gates & KIDOKU review
Security check, confirmation and documentation kick in before anything goes final.
- 05
Result back to you
Clean, traceable, at consistent quality — and the next run is already waiting.
Ready to work one level up?
boostN™ — AI-Orchestration for everyone.
Release soon
Everyone who follows us at release gets their own invite to Early Access.