Behind every mode is a composite model built for engineering work. Same project, better results, less time, 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.
Frontier-model acceptance quality
In our own engineering evaluations, on the same repository and the same acceptance criteria, the result comes back ready to accept.
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.
Model line-ups upgraded continuously
As stronger models arrive we keep improving the line-up behind each mode. The mode you already use gets stronger — nothing to switch, nothing to 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.
Inside a mode, BoltLynx puts the right models on each step for you — so you are never choosing a weaker model to stretch your balance, or holding work back until an off-peak window. Purchased Credits stay available while your account remains open and in good standing.
Lynx Modes
Behind every mode is a composite set of models we tuned for that kind of work. You pick by the work; BoltLynx decides which models each step needs and how they combine.
For most engineering work.
Writing code, refactoring, debugging, fixing tests, carrying a real project forward. In our evaluation cases the work it hands back matches frontier-model quality, at exceptional value.
For harder engineering work.
The same engineering focus, with quality placed ahead of cost. For system design, deep defects, and heavily coupled changes.
Why amplification across a composite set works: models with complementary strengths each put forward an approach, then challenge, review, and refine it. Several rounds in, the weak version is caught before it becomes your code.
You direct engineering at a larger scale
A real project is never simply delivered — it keeps evolving. Each round you give direction, review what came back, and decide what matters next. You steer the project itself instead of assembling it out of tasks.
Your earlier decisions, results, tests, and the way your project works carry into the next round. Your attention stays on the next judgment call, not 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.
Frontier-quality engineering results
As a real project moves forward, what comes back is work you can accept as it is.
In our own engineering evaluations, the work BoltLynx hands back matches frontier-model quality, and exceeds it in some cases. Same repository, same environment, same acceptance criteria.
How it keeps context, takes action, and verifies results is tuned for the scale of long, complex engineering — 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
