New frontier and open-source models land every week. We help leadership teams cut their token bill, run open models on private data, and spend frontier intelligence only where it pays, so the company's alpha stays inside the company. From a founder who sold Codecov to Sentry and a founder who runs the rooms where 50,000+ AI developers ship first.
Cut your token bill. Keep your data and alpha in-house. Use frontier models where they pay.
Every week a frontier lab or an open-source team ships a new model. Each one changes what a token buys. We help you spend tokens where they create value, cut them where they don't, and keep what makes your company different inside the company.
token economics: where every token goes, what it buys, and how to pay less for the same result
Focus 01Three steps that turn your token spend into an advantage, then an advisor on call as new models land.
Which teams use which models, for what, at what cost per task. Every workload gets a value and a token score.
Each workload goes to the right model: frontier where intelligence pays, open-weight and private where it doesn't. Evals prove quality holds.
A plan, the numbers and the pitch for your board, teams and customers. Every month, what new models change for your costs.
Our advice is only as good as what we can see. So we run the places where AI builders show their work: the weekly MCPnewsletter, the allMCPservers directory, the MCP hackathon calendar, r/MCPservers and the Claude builder community in Amsterdam. You get the filtered version, applied to your business.
MCPnewsletter · the weekly brief for AI builders: servers, SDKs, auth patterns and launches worth knowing
Steve Peak · The BuilderCodecov Acquired by Sentry
Founder & CEO
Started as a weekend project and built solo for the first three and a half years. 1M+ developers and 29,000+ organizations later, Codecov was acquired by Sentry. Steve knows what it takes to turn a technical bet into a company someone buys.
Steve Peak
@iopeak
builder in the mountains. full-time builder, part-time farmer.
Dolores, Colorado
1M+ devs
used Codecov, the product Steve founded and sold to Sentry.
50K+
AI developers in the Reddit communities Swatantra runs.
007, Kyoto & Gwiz 2025 → 2026
Open source
An open-source AI-workflow SDK (007), tooling for vibe coding (Kyoto) and a local-first AI agent with its own MCP server (Gwiz). Steve tests every model and framework on his own work before he recommends it to anyone.
“Every week, fifty thousand developers show us what they are building with AI. Steve has built and sold the company. Between us, we can usually tell you in thirty minutes which AI bet is worth your money, and which one is a demo.”
Swatantra Sohni
Co-founder, PeakShift Labs
Reddit AI communities 50K+ developers
Founder & moderator, r/MCPservers
The rooms where people building with Model Context Protocol and AI agents show their work, founded and run by Swatantra. More than 50,000 AI developers across them. r/MCPservers alone has 30K members and drew 34.2K views in the past week. Usually the first place a new tool gets stress-tested.
Claude Ambassador Amsterdam
Startups & MCP
Claude Ambassador for startups and MCP in Amsterdam. Co-hosts AI Builders Amsterdam, a community of 3,000+ builders across Europe, and moderates the fireside chats at the city's AI hackathons.
Swatantra Sohni · The Signal
Swatantra Sohni
@TheGeneralistHQ
AI Generalist. Founder VibeCodeFixers, r/MCPservers. AI educator by day, vibe coding junkie by night.
Amsterdam
MCPnewsletter.com Weekly
Publisher, with mcphackathon.com and allmcpservers.com
The weekly briefing, the hackathon calendar and the directory for the MCP ecosystem. Where the people shipping agent tooling check what landed this week, and where we check it too.
VibeCodeFixers Founder
404 Media · Futurism · Gizmodo · Slashdot
The marketplace that matches vibe-coded projects with professionals who can finish them. 600+ vetted developers, and a front-row seat to what happens when AI-built software meets production.
33K+
MCP servers
indexed in allMCPservers, the directory we use to see what agents can already do.
Advice + builds One team
Cash + equity builds
When a decision calls for a build, the same two founders build it with you, for cash plus equity. Advice from people who will put their own stake behind it.
The ecosystem we work in, every week:
One fixed-scope sprint. We measure your token footprint, route every workload to the right model, set up the evals that prove it, and give you the pitch for your board, your teams and your market.
Every AI workload, the models it uses, the tokens it burns and the cost per task. One clear picture of where the money goes.
Which work needs frontier intelligence, which runs on open-weight models, and which needs no model at all.
Caching, context trimming, batching and smaller models where they pass your evals. Each lever priced before you pull it.
Open models on infrastructure you control for sensitive data and know-how, so your alpha stays in-house.
Quality and cost scored on your own data, in a form your teams, customers and board can trust.
The AI and token-cost story for your board, your teams and your market, built on your numbers.
Advice first. Builds when they earn it.
How we price
A fixed fee for the sprint, agreed before we start. After it, an optional monthly advisory retainer. If you want us to build, we take it on for cash plus equity.
Capacity
A handful of companies at a time. There are two of us, and every hour of advice comes from one of us.
Thirty minutes with both founders. Bring your AI bill or the model decision on your desk. We will tell you where the tokens go, what we would move to open source and what we would keep on the frontier. The advice is yours to keep either way.
Most companies pay frontier prices for work an open model on their own servers could do, and send their best know-how to someone else's cloud while doing it.
This works for founders and leadership teams who want to make one good AI decision now, not commission another strategy deck.
If AI is not the right lever for your business yet, we will say so on the call.
Free decision callNot a generic audit. Your workloads, your models, your bill: where tokens create value, where they leak, what moves to open source, and what we would do first.
Every AI call is paid in tokens. Token economics is knowing which work deserves expensive frontier-model tokens, which can run on cheaper or open-source models, and what each task really costs. Get it right and AI costs fall while quality holds or improves.
For a lot of everyday work, yes: classification, extraction, search, drafting and internal assistants often run well on open-weight models you host yourself. Hard reasoning and high-stakes work usually still pays off on the frontier. We test both on your tasks and route each workload accordingly.
Sensitive data and the know-how that makes your company different can run on open models inside infrastructure you control. Only the work that truly needs frontier intelligence goes to a frontier lab, under the right agreements.
Yes. We help you build the pitch for your board, your teams and your market: the plan, the token-cost numbers and the evals behind it. Leaders who can show AI value at a controlled cost are the ones whose value rises.
A short, fixed-scope decision sprint: we map where AI can move revenue or cost in your business, score every AI idea as build, buy or skip, test the shortlisted models and vendors on your own data, and hand you a ranked 90-day roadmap. After that, an optional monthly advisory line keeps you current as the ecosystem moves.
The two founders, nobody else. Steve Peak built Codecov to more than a million developers and sold it to Sentry. Swatantra Sohni runs Reddit communities of 50,000+ AI developers, publishes MCPnewsletter and is a Claude Ambassador for startups and MCP in Amsterdam.
We run the rooms where it happens first: r/MCPservers, the weekly MCPnewsletter, the allMCPservers directory, the MCP hackathon calendar and the Claude builder community in Amsterdam. We see what ships before it trends, and we tell you which parts matter for your business.
Startups, scale-ups and owner-led companies with a real AI decision in front of them: a product to make AI-native, a vendor to choose, a team to automate, a board asking what the AI plan is. Usually a founder or executive who wants a straight answer from people who build.
Advice first. When a decision calls for a build, we can build it with you for cash plus equity, or we brief your own team so they can ship it.
No. We take no referral fees, and we recommend whatever the evidence says works best for your tasks: Claude, OpenAI, Gemini, open-weight models or no AI at all. Swatantra is a Claude Ambassador, and we will still tell you when another model is the better fit.
The sprint runs in weeks, not quarters. The first call alone often settles the decision you came in with, and we agree the scope of anything after it before it starts.
Pick a 30-minute slot with the button below. Come with one AI question that is on your desk this month. You leave with our honest take on it, whether or not we ever work together.
Still have questions?
