Collaborative Multi-Model Amplification behind every Lynx Model: higher-quality work on the project you are actually building, in less time, at lower cost.
What you get
180,000+ messages · 4+ months · one agent
You direct the project, not one task at a time. Decisions and results from earlier rounds stay in force, so the work you can move forward is no longer limited by how much you can hold in your head.
43.5 → 88 at the same cost tier
In our own engineering evaluations, quality crossed the line between a result you would have to redo and one you can accept as delivered.
About a quarter of the usual time
Same task, same quality, in our own evaluations. Two savings, not one: the work finishes sooner, and you spend far less of your own time explaining and steering it.
~30% of the cost, as low as 10%
On the same task, at the same or better accepted quality, in our own engineering evaluations.
Any browser · your phone included
Check what it is doing and set the next step from any browser, your phone included. The work still runs on your own computer.
Every new frontier model, put to work for you
We keep growing alongside the strongest models as they arrive, and you get the result: the same Lynx Model you already use gets stronger, with nothing for you to migrate or relearn.
Pricing
In our own engineering evaluations, on the same task at the same or better accepted quality, BoltLynx came in at roughly 30% of the cost — and in some cases as low as 10%. Same repository, same environment, same acceptance criteria.
A cheap result you have to redo costs more than a good one you keep — in spend and in your afternoon. Because more of what you get is accepted the first time, you pay for the work once.
Buy Credits and use them across any Lynx Model, switching freely as the work changes. Models draw Credits at different rates, so you decide where the budget goes task by task — and Purchased Credits stay available while your account remains open and in good standing.
Lynx Models · Collaborative Multi-Model Amplification
Every Lynx Model is a composite model, powered by Collaborative Multi-Model Amplification. The only decision left to you is how hard the work is: Apex for the hardest work; Pro for engineering or general work; Flash when speed and cost matter, with Vision and Code variants.
The flagship composite model for the hardest work.
Best for system architecture, the hardest debugging, critical technical decisions, and work where the cost of a wrong path is high.
A professional composite model for engineering work.
Best for coding, refactors, debugging, test fixes, and steadily moving a real engineering project forward.
A professional composite model for general and complex work.
Best for work that needs complete judgment across research, knowledge organization, documentation, product decisions, and complex collaboration.
A fast composite model for multimodal work.
Best for quickly analyzing, implementing, and iterating from screenshots, diagrams, UI states, and other visual inputs.
A fast, affordable composite model for coding work.
Best for small code changes, simple scripts, short code reviews, batch code work, and everyday coding iteration.
Cost-effective external and open-source models for simple tasks, experiments, and low-cost iteration.
Why several models beat one: a single model commits to its own first answer and has no way to see what it missed. Complementary models propose, challenge, review, and refine each other, so the weak version gets caught before it becomes your code.
You direct engineering at a larger scale
You stay in the loop, because a real project is not one delivery — it iterates. You give direction, review what came back, and decide what matters next. What changes is the size of the unit you work in: you steer the project itself instead of assembling it out of tasks.
You know where that usually breaks down: context fills up, a fresh start knows nothing about what you settled three weeks ago, and re-pasting it never quite restores the reasoning — so you end up back to handing over one task at a time.
Here your earlier decisions, results, tests, and the way your project works stay in force into the next round. You spend your attention on the next judgment call rather than on rebuilding the context behind the last one.
BoltLynx is built by a BoltLynx agent. Product code, features, tests, infrastructure, deployments, and product decisions have all advanced through continuous iteration — from one agent on one continuing body of work: 180,000+ messages and 90,000+ model calls over 4+ months. Not one long conversation, and not unattended automation.
You get work you can ship
Not a nicer draft — work that clears your bar the first time, on the project you are actually building.
In our own engineering evaluations, quality scored 43.5 without amplification and 88 with it, at the same cost tier. 43.5 is work you would have to redo. 88 is work you can accept. The gap is not a refinement; it crosses the line between the two.
Because complementary models challenge and refine each other before implementation, what you get back is better than the best of them working alone — on plans, on code, and on the judgment calls in between.
BoltLynx is engineered for long, complex work, not single prompts. How it keeps context, takes action, and verifies results is tuned for that scale — which is where quality is usually lost.
You get higher time efficiency
On the same task at the same quality, our own engineering evaluations put BoltLynx at roughly a quarter of the time the same work usually takes. Fewer dead ends, fewer retries, fewer rounds back to the start.
What usually eats your day is not waiting on a response — it is being pulled back in to break the work down, re-explain context, and nudge things back on track. Direct a larger piece and those interruptions come back to you as working time.
Engineering advances in loops: build, test, look at the result, decide the next move. Shorten every loop and the saving multiplies across the life of a project instead of showing up once.
Because you are not consumed by step-by-step supervision, you can keep several lines of work moving in parallel. How much engineering you push forward stops being bounded by how fast you can type.
Reach it anywhere, keep it yours
Two things builders ask for that usually trade off against each other: reach it from anywhere, and keep it inside your own environment. Splitting where you talk to the agent from where it acts gives you both.
Away from your desk, open BoltLynx on another computer or your phone to see what it is doing, change direction, and set the next step. Nothing to install to do that.
Your phone is a control surface, not a runtime. Files, commands, and tests execute through the local client on your own machine, against your real repository.
BoltLynx works inside the project directories you choose, not across your whole machine.
Shell commands and sensitive operations can be approved, denied, allowlisted, or blocked — one by one if you want it that way.
Beyond coding
Engineering projects often spill into research, data, documents, websites, decks, and multilingual delivery. BoltLynx can continue with the surrounding work instead of stopping at the codebase.
Investigate papers, specifications, repositories, and web sources. Keep the evidence connected to the project and turn findings into decisions.
Work with datasets, scripts, calculations, comparisons, and charts. Check outputs against explicit criteria instead of stopping at a plausible answer.
Produce technical docs, reports, websites, decks, and multilingual deliverables from the same project context.
BoltLynx
