Algebras AI
AITranslate content into more than 300 languages with Algebras AI, enforcing your own glossary so product and brand terms stay fixed. Agents translate records in bulk and score translation quality before anything is published.
What This Integration Enables
Algebras AI is built for teams whose translation problem is not coverage but control. Most machine translation gives you an answer and no way to judge it. Algebras gives agents both halves: a glossary that forces your product, brand, and legal terms to render the same way in every one of more than 300 languages, and a quality score on the output. Agents can translate one string or a batch of twenty, queue an agentic translation for long or nuanced content, and then score what came back on the GEMBA scale from 0 to 100 or on five separate fluency dimensions.
That second half is what makes Algebras usable inside a flow rather than beside one. A score turns a translation from an opinion into a value a workflow can branch on. Agents translate at volume and route the uncertain results to a person, which is the whole point: the machine handles the strings that are obviously fine, and the automation exceptions reach someone who can decide.
Without FlowRunner
With FlowRunner
Use Case Scenarios
Score-gated publishing from a headless CMS
A content entry is approved in Contentful and needs to exist in eleven locales. The agent pulls the fields, calls Translate Batch with the marketing glossary attached and length preservation on so headline and button labels still fit their containers, then calls Evaluate Translation Quality on each result. Anything above the publish threshold is written straight back to Contentful as a draft in that locale. Anything below it is held. The localization owner opens a single queue containing only the held strings, each with its score and the specific problem Algebras identified, and decides what happens to them. Publishing stops being a batch approval and becomes a short list of real decisions.
Termbase sync from a source of record
The terminology your company has agreed on usually lives somewhere other than the translation tool. A team maintains it in Airtable with owners, approval dates, and per-language definitions. On a schedule, the agent reads the approved rows, compares them against List Glossary Terms, and stages the difference. New approved terms go in through Create Glossary Terms In Bulk so the import is one call rather than one call per term. Retired terms are staged for removal rather than removed, because Delete Glossary Term changes every future translation and the agent does not make that call alone.
Detect, then answer in the language the customer wrote in
A support ticket arrives in Zendesk with no language field set. The agent calls Detect Language on the ticket body, translates it into the language the support team works in, and attaches both versions to the ticket so the agent handling it can see the original. When the reply is drafted, the agent translates it back with the support glossary attached, scores it with Evaluate Fluency, and only sends automatically if the score clears the bar. Below the bar, the reply waits for a bilingual reviewer instead of going out in wording nobody has read.
Human-in-Loop Highlight
The gate lives in the gray band. A GEMBA score of 92 is fine and a score of 30 is obviously broken, but the interesting strings are the ones that come back at 68: grammatical, plausible, and possibly wrong in a way that will only surface after a customer reads it. When a translation lands in that band, the agent does not publish it and does not silently drop it. It sends the localization owner the source string, the translation, the numeric score, and the fluency dimension that dropped, and asks: "String checkout.confirm_cta scored 68 into German. Fluency flagged pragmatic register. Publish as is, send for post-edit, or add a glossary term so this term stops coming back wrong?" That third option is the one that matters, because it fixes every future translation of the same term instead of this one string. Glossary changes themselves stay behind the same gate. Create Glossary Terms In Bulk and Delete Glossary Term both rewrite the rules that every subsequent translation obeys, so the agent stages the change and a person commits it. This is human-in-the-loop applied where the leverage is, not at the end of every string.
Agent Capabilities
18 actionsTranslation
6- Translate Text Translates a text into a target language using Algebras' localization models. Supports over 300 languages, automatic source-language detection, a glossary for enforced terminology, a custom prompt for tone or domain guidance, and a length-preservation flag that keeps translations short enough for UI strings. Can return a fluency evaluation of the result in the same call.
- Translate Batch Translates up to twenty texts in one call with shared settings, which is materially faster and cheaper than translating strings one at a time. Accepts a per-row context array so each string can carry a hint about where it appears, and returns a batch summary with success, failure, and credit counts.
- Start Agentic Translation Queues an agentic translation task, in which Algebras runs a multi-step reasoning pass over the text rather than a single model call. Used for long or nuanced content where a single pass is not good enough. Returns a task ID immediately.
- Get Agentic Translation Status Retrieves the progress and, once finished, the output of an agentic translation task started by Start Agentic Translation. Polled by the flow until the task leaves the pending state.
- Detect Language Identifies the language of a text and returns its ISO 639-1 code. Used to route content before translating, or to fill in the source language when it is not known ahead of time.
- List Supported Languages Retrieves every language Algebras can translate into, each with its language code and English name. Used to build or validate a language picker rather than hard-coding a list.
Quality Evaluation
3- Evaluate Fluency Scores how natural a translation reads across five linguistic dimensions: idiomatic expression, collocation, discourse coherence, pragmatic register, and freedom from calques, each from 1 to 10, and returns the main problem it found with a suggested fix. Works on translations produced anywhere, not only by Algebras, so it doubles as a proofreading gate on output from another vendor.
- Evaluate Fluency Batch Evaluates up to twenty translation pairs concurrently against the same language direction, returning a fluency breakdown for each plus a summary of how many succeeded. Individual failures do not abort the batch, which makes it safe to run across a whole export of translated strings.
- Evaluate Translation Quality Scores a translation on the GEMBA scalar quality metric, a continuous 0 to 100 scale where 0 means no meaning is preserved and 100 means perfect meaning and grammar. Supplying a human reference translation calibrates the score. This is the value a flow thresholds on.
Glossaries
8- List Glossaries Retrieves the organization's glossaries with pagination. Used to find the glossary ID to attach to a translation.
- Create Glossary Creates a glossary covering a set of languages. The glossary starts empty and is populated with terms before it does anything.
- Get Glossary Retrieves a single glossary by ID, including the languages it covers, its processing status, and its terms. Used to confirm a glossary is ready before attaching it to a translation run.
- Delete Glossary Permanently deletes a glossary and all of its terms. Translations that referenced it stop enforcing those terms, so any live flow pointing at it needs repointing first.
- List Glossary Terms Retrieves the terms in a glossary with pagination. Each term carries a definition per language, which makes this the call for auditing or exporting enforced terminology.
- Create Glossary Term Adds a single term to a glossary with its definition in each covered language. Every definition belongs to the same term, which is how Algebras knows a term and its rendering in another language are the same concept rather than two unrelated entries.
- Create Glossary Terms In Bulk Adds many terms to a glossary in one call, each with its own set of per-language definitions. Used to import an existing termbase or sync terminology from another system without one request per term.
- Delete Glossary Term Removes a single term, and all of its per-language definitions, from a glossary. Subsequent translations stop enforcing that term.
Account
1- Get Account Information Returns details of the API key in use and the organization it belongs to, including subscription status. Used as a connection health check or to verify entitlement before running a large translation job.
Frequently Asked Questions
What can FlowRunner do with Algebras AI?
FlowRunner agents can run Translate Text, Translate Batch, and Start Agentic Translation in Algebras AI, plus 15 more actions.
Does connecting Algebras AI to FlowRunner require OAuth?
No. Algebras AI connects to FlowRunner with an API key, no OAuth flow required.
Can Algebras AI trigger a FlowRunner workflow automatically?
Algebras AI doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger.
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