A shared contract
Request shape, errors and loading states agreed across the teams using them.
Deliver complete features across the interface, API and database—including what happens when a request fails.
PATCH /profile
{ displayName: "Asha" }Interrupt a response and retry the same operation. Watch the record, not just the button.
Product LAMP-01
ReadyPOST /reservations
request-key: demo-104One unit is available. The example can lose the response after the write.
Request shape, errors and loading states agreed across the teams using them.
Validation, concurrent updates and migrations considered with existing records.
Timeouts, retries and background work designed around each external dependency.
A complete feature can span several owners.
Confirm repository access, domain rules and the people responsible for acceptance.
Name the interface, service and data changes we own, plus the tests that demonstrate the feature.
Agree release access, diagnostics and who responds after launch.

Supplier-data scraping and AI engineering for a cross-border shopping and warehouse platform.
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Web, hybrid apps and administration work for a marketplace with a rewards layer.
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Product development and advertising support for Fashom’s digital service.
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Initial app and backend development, followed by training for the client’s team.
View projectYes. We agree ownership of contracts, repositories, environments and release decisions so the feature can be delivered across teams without ambiguous boundaries.
Not by default. We review the existing code, dependencies and operational constraints first. Changes should solve a concrete delivery or maintenance problem.
Application deployment setup can be included. Ongoing infrastructure management, incident response and on-call coverage need an explicit operating agreement.
Yes, when scoped. We define mapping, validation, backups, rollback and the cutover approach against the existing data and acceptable interruption.
Share the user action, existing code and the systems that must agree on the result.
What our clients value about working with Daphnis Labs.
The team at Daphnis Labs redefined what’s possible for Urbanface. They delivered a bespoke, animation-heavy website that remains incredibly quick and functional. The…
We wanted a unique, 'one-of-a-kind' feel for Glareen, and Daphnis Labs delivered an ecosystem that is both beautiful and technically superior. Their expertise in…
The level of technical depth Daphnis Labs brought to our Game project is unparalleled. While the front-end reel games are visually stunning and highly engaging, the…
Practical perspectives on AI, product engineering, commerce and modern software delivery.

Separate Kimi's API and coding-plan limits, budget cache writes correctly, and evaluate a repository refactor against behavior that must survive the change.
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Budget beyond Mercury 3's launch discount, check its streaming and reasoning defaults, and measure how quickly a support agent produces a correct, usable answer.
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Separate the model's context from each provider's limits, calculate a coding-pilot budget, and test a mobile layout repair before committing to self-hosted hardware.
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Compare recorded and realtime transcription costs, identify launch-documentation conflicts, and test whether a corrected collection request survives the trip from audio to an operations draft.
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Check the released model's token rates and API compatibility, calculate a realistic pilot budget, and evaluate image evidence against changing inventory records.
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Separate GLM-Legal's beta access from unconfirmed API terms, interpret its independent benchmark results, and test document evidence with a reviewer-inclusive cost model.
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Check the October 17 model update, peak and off-peak token rates, and new search charges, then evaluate an agent against versioned API evidence.
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Understand Timestral's time-step limits and weight license, estimate a local forecasting job, and design a retail backtest that cannot see future sales.
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Check Sonnet 5.5's token costs, thinking settings and conversation requirements, then evaluate coding changes against a concrete merchant-sorting fixture.
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Check Gemini 4 Argon's access rules, shared token budget and launch pricing, then use a controlled supplier-data evaluation to plan an API migration.
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