No pre-hire signal
New cooks won't sit through an assessment before joining, so onboarding can't screen for skill.
Tossit deploys a skill-verification system to assess cook capability with Gyde
Conversational assessment
Cooks answer in Hindi or their local language, by voice, from a link inside the app they already use.
Watch-then-verify learning
Short recipe videos followed by questions that confirm the cook actually understood them.
Capability dashboard
Operation managers see where every cook is strong and where they need coaching, scored across knowledge, understanding, and communication.
About the client
tossit
Tossit is an on-demand home cooking platform, available in HSR, Bangalore. Customers book a trained cook by the dish, from Hyderabadi biryani to sushi, with a cook arriving within 30 minutes. Every cook is background-verified and skill-verified; no subscription required.
Tossit's promise to customers is that the cook who shows up can actually make the dish booked. Verifying that at scale, for cooks with low digital literacy who speak vernacular languages, isn't something a manual or text-based process can handle. Gyde gave them a voice-first, local-language assessment inside the app cooks already use.
The problem statement
Training that's hard to verify at scale
Low digital literacy
Many cooks have limited reading fluency and speak a vernacular language, ruling out text-heavy quizzes.
"Watched" isn't understood
Ops had no way to tell whether a cook who watched a training video actually absorbed it.
No capability visibility
Without per-cook, per-dish scoring, ops couldn't see who needed coaching and on what.
How Gyde solved it
A conversational, voice-first assessment layer inside the app cooks already use
One-tap, no separate login
A button inside the Tossit Cook app opens a token-scoped assessment link in the system browser; identity carries over automatically, with no raw personal data in the URL.
Knowledge base to reviewed questions
Admins upload SOPs, recipes, and short videos. Claude Sonnet 4.6 drafts questions, expected answers, and rubrics from video transcripts and visual keyframes; admins edit, reorder, and set language and thresholds before publishing.
Watch, then verify understanding
Cooks watch a short recipe video before answering, with watch tracking that tells ops "did not watch" apart from "watched but did not understand." A video module can run as unscored training or a scored assessment.
Answer at their own pace, in their own language
One question at a time with a progress indicator, resumable if interrupted, built for low-end phones and patchy networks. Cooks record, replay, and re-record voice answers in Hindi or their local language before submitting.
Scored, and checked by a person
Claude Haiku 4.5 transcribes and scores each answer on knowledge, understanding, and communication. Low-confidence answers route to a human reviewer, who can override any score before it's final.
Assigned on a schedule, tracked over time
Admins assign assessments to individuals, groups, or a recurring schedule, with reminders sent by SMS, WhatsApp, or email. The capability dashboard shows per-cook strengths and gaps, and cooks can be reassessed as menus and standards change.
A pattern other platforms can borrow
Built to scale as headcount grows
Language isn't an afterthought
The assessment runs by voice, in whatever language the worker actually speaks.
A person makes the call
The system scores and flags answers; someone reviews anything that affects a worker's role before it counts.
It doesn't stop at onboarding
Workers get reassessed as SOPs or standards change, which matters for any frontline job where "skilled" isn't a one-time label.
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See how Gyde builds a capability-verification layer for workforces where training alone isn't proof of skill.