Code with AI — in your browser or terminal
The AI workspace for teams. Chat across any model, rescue dead conversations instead of restarting them, run agents with approvals, sync your terminal sessions, and control every penny you spend — one memory, everywhere.
Install the lf CLI — sync your terminal sessions, costs and context with the web app
Code, run and rescue with every major AI — web or agents
AI is powerful.
Your workflow isn't.
Every time you switch models, you lose context, repeat yourself, and pay again.
01
You explain the same project again.
Every new AI starts from zero.
Each starts empty
02
You hit a limit.
The best answer always gets interrupted.
Limit reached
100%
11:43 PM
conversation locked
03
Important decisions disappear.
Your reasoning lives in old chats.
Decision lost
04
You pay twice.
Most of your bill is repeated context.
Same tokens, paid again
$0.00
LayerFlow fixes every one of these.
From plain English to shipped code
Improve the prompt, run it with agents, keep every bit of context. Any model, any tool — one memory.
Write plain English
No prompt engineering, no setup, no API keys. Say what you want in a sentence — or paste a messy AI chat you're stuck on.
▸$ lf run "build a landing page"Click Improve
Your vague ask becomes a precise prompt — context, constraints, examples and output format — scored from 0 to 100.
▸score 92/100 · 3 constraints addedAgents run it — in LayerFlow
Implement, review and test agents work in parallel with their own models. Watch it all live in the dashboard.
▸implement + review + test · in parallelContinue anywhere
Every finished session keeps an AI summary and a Continue Pack — pick up in any model, never re-explain your work.
▸summary saved · continue pack copiedA terminal that runs like a team
Install once, run from anywhere. The CLI auto-improves your prompt, cuts unused context, checks cost, and runs multiple agents — then saves everything to your workspace.
Prompt management
Plain English in, precise prompt out. Clarity, constraints, examples and output format — scored 0–100.
Auto context cutting
Long chats and repo context get cut to only what the task needs — token waste removed before the run.
Multi-agent runs
Implement, review and test agents work in parallel, each with its own model and budget.
Cost-checked before it runs
Every command estimates dollars across models first and picks the cheapest good-enough one.
Same sessions in the web workspace — start in one, continue in the other.
Hit a limit at 11pm?
We finish the thought.
Paste your conversation. LayerFlow automatically cleans, compresses, improves, estimates cost and creates a Continue Pack so you can continue instantly in another AI.
0%
Context Removed
~0s
Avg Processing Time
$0
Average Cost
Cleaning
Removing noise & duplicate context
Compressing
Smart compression
Improving
Adds missing constraints
Pricing
Checks every model
Suggesting
Picks the best AI
Packing
Creates your Continue Pack
Features
Code with AI —
keep every bit of context alive
LayerFlow is the AI workspace for teams that build in the browser and the terminal — chat across any model, rescue dead chats, run agents, and keep one memory everywhere.
Code
01 · Code
Coding Workspace
A dedicated workspace for building with AI — sessions, prompts, runs and history live together, so coding never loses the thread.
Example
Why it matters
One place for the whole build loop — plan, code, test, ship.
02 · Code
Improve Prompt
Polish any prompt before you spend tokens — rewrite, tighten and score it against your best past prompts.
Example
Why it matters
Better prompts in, better answers out, without burning budget.
03 · Code
Build Agents
Compose agents from prompts, models and budgets. Approvals gate the important steps and every run is logged.
Example
Why it matters
Your workflows run themselves — you approve what matters.
04 · Code
Run Sessions
Start a session, pick a model and watch it run in real time — in the browser or the lf terminal.
Example
Why it matters
Start on the web, finish in the terminal — same session, same context.
Rescue
01 · Rescue
Rescue Chat
Hit the Claude or ChatGPT limit? Paste the dead conversation and continue instantly — in any model.
Example
Why it matters
A dead chat becomes a workable session in under a minute.
02 · Rescue
Smart Compress
Long threads shrink automatically — older turns are summarized so the important context survives.
Example
Why it matters
No more losing the plot in a 200-message thread.
03 · Rescue
Continue Pack
Export the full conversation as a pack — import it into any chat or agent and continue where you left off.
Example
Why it matters
Your work travels with you, not stuck in one app.
Context
01 · Context
AI Conversation Summary
Every finished conversation gets a distilled summary — automatically, without you asking.
Example
Why it matters
Know what was decided without rereading the whole thread.
02 · Context
Prompt Library
Prompts are versioned, scored and shared across the workspace — reuse your best work instead of reinventing it.
Example
Why it matters
Your best prompts compound.
03 · Context
Context Search
Keyword and semantic search across chats, memories, prompts and runs — find the answer you already paid for.
Example
Why it matters
Reuse what you already solved.
04 · Context
Learning Memory
Facts from chats and runs are extracted into durable memory and injected into future sessions automatically.
Example
Why it matters
Your lessons compound instead of living in scrollback.
Workspace & models
01 · Workspace & models
AI Work Ledger
A git-like timeline of every chat, run and decision — with the models used and what they cost.
Example
Why it matters
Full history, full accountability.
02 · Workspace & models
Cost Analytics
Spend per project, model and team member — with budgets that stop the spend before it overshoots.
Example
Why it matters
Every dollar accounted for — before it's spent.
03 · Workspace & models
Models
OpenAI, Anthropic, Google, Groq, DeepSeek, Kimi and xAI — pick the best model for each job, with automatic failover.
Example
Why it matters
Always the right model for the task.
04 · Workspace & models
BYOK
Bring your own API keys. Pay your provider's prices, keep full control and never touch resold credits. Keys are encrypted at rest.
Example
Why it matters
Your keys, your prices, your control.
One platform. Every major model.
Free and paid models in one workspace. Bring your own keys (BYOK) — pay providers directly, and LayerFlow suggests the best model for every task.
Free models
Zero-cost models for everyday runs — chat, summarization, compression, prompts, quick fixes.
Paid models
Frontier models for deep reasoning, writing, review and final output — you pay providers directly with BYOK.
+ any OpenAI-compatible endpoint via BYOK — add your own model in minutes.
Copy-paste every time, or build context once
LayerFlow is the difference between re-explaining your work to every AI — and never explaining it again.
Made for people who
live in AI tools.
Whether you're a founder, developer, student or freelancer, LayerFlow adapts to your workflow instead of forcing you into another chat app.
01
Code without coding
Build features using natural language without losing context.
02
Limit Rescue
Continue after ChatGPT or Claude usage limits.
03
Switch tools freely
Move between GPT, Claude and Gemini with zero context loss.
04
Reduce AI costs
Automatically choose the cheapest model for the same task.
05
Keep client work alive
Never rewrite project context again.
06
Study & research
Turn conversations into searchable knowledge.
Ready to stop rebuilding context?
Start freePriced for the workflow, not the tokens
No unlimited-credit gimmicks. LayerFlow charges for the system that saves your context — you pay providers directly with BYOK.
Starter
For people who switch models weekly and never want to re-explain work.
- Unlimited chat + auto model switching
- 30 Rescue Reports / month
- AI Memory + context search
- Unlimited Improve Prompt
- BYOK — encrypted provider keys
- Terminal sync (lf CLI)
- Hard budget caps + cost analytics
- Prompt Library with scores
- AI Work Ledger
Every plan includes privacy-first defaults: your raw chats are never sold, never fed into training data, and only stored when you save.
One context system, four layers deep
From web rescue reports to a developer memory layer — built in order of real user need.
Rescue & Chat
Chat across any model with automatic failover, and rescue dead conversations instead of restarting them.
Workspace & Memory
Your AI work becomes an organized, searchable memory that compounds across sessions.
Agents, Team & Terminal
Autonomous agents with approvals, team workspaces, budgets, and a CLI that syncs with the web app.
Developer layer
Repo-scale context that works with Cursor, Claude Code, and friends.
People who stopped
re-explaining everything.
Founders, developers, students and freelancers use LayerFlow to keep their AI context alive — in the browser and in the terminal.
Claude hit its limit while I was writing a design document. LayerFlow rebuilt everything in seconds.
Alfonso Roa Redondo
Full-stack developer
I switched from GPT to Gemini without losing any project context.
Hadil Affes
Frontend engineer
My AI costs dropped because LayerFlow recommended the cheapest model.
Alvin Rindra Fazrie
Indie hacker
I stopped storing prompts everywhere — Notion, ChatGPT, random files. Now everything lives in LayerFlow.
Imen Selmi
AI tinkerer
Half my work happens at 1am across three AIs. LayerFlow keeps the thread intact between all of them.
Aman Kumar
Founder
My teammate picked up my entire project from one AI summary — zero re-explaining.
Hamza usman ghani
Freelance developer
Questions, answered
It's the extracted memory of one rescued AI task. LayerFlow distills your chat into goal, current state, key decisions, constraints, what worked, what failed, and the next action — so any AI model can continue your work without you re-explaining everything.