Build with Sunesis
Build real-time characters, expressive voices, and capable agents from one platform.
Sunesis is the character, voice, video, and conversation layer for AI. Every capability is available three ways: in the Studio (no code), through the REST API, and via the official SDKs.
Get your API key
Authorization header. Keys are issued from your dashboard — create a free account to generate one (free tier included, no card required).Choose your path
Three ways to build
Every capability below is reachable from all three. Pick the one that matches how your team works — you are not locked in, and a character built in Studio is callable from the API the same day.
No code
Sunesis Studio
Build and hear a character in the browser. Nothing to install, and the work carries over to the API.
Start hereTypeScript · Python · Go
Official SDKs
Typed clients with pagination, retries, and realtime handled for you. The fastest path in a codebase.
Start hereAny language
REST API
One bearer token and JSON over HTTPS. Everything the SDKs do, with nothing to install.
Start hereBrowse by capability
Jump straight to it
If you already know what you need, this is the shortest route to it.
Characters
Voice
Video
Conversation
Concepts
Four things worth knowing first
These terms carry the same meaning everywhere in the platform.
- Characters
- A face, a voice, and a persona bound together. The same definition drives a still avatar, a rendered video, and a live call, so a character stays recognisably itself across surfaces.
- Voices
- Either a stock voice or a clone you created from consented audio. Clones belong to the workspace that made them and are never shared across accounts.
- Agents
- A character plus instructions, tools it may call, and the knowledge it may ground answers in. Agents hold conversations; characters only speak.
- Credits
- One balance across voice, video, and conversation. Requests draw from it as they complete, and a call that would exceed the balance is refused rather than truncated.
Quickstart
Make your first request
Create a key in the dashboard, send one request, and receive audio back. Start with the language your team already uses.
curl https://api.sunesis.ai/v1/voice/generate \
-H "Authorization: Bearer $SUNESIS_KEY" \
-H "Content-Type: application/json" \
-d '{ "voice": "aria", "text": "Hello from Sunesis." }'Character generation
Create the person behind the conversation
A Sunesis character combines a visual presence, a signature voice, and an agent persona. Start from a preset or build a reusable character for your product.
Shape the presence
Choose a natural, stylized, or brand-led visual direction for the screen.
Give it a voice
Pair the character with a Sunesis voice or a consented voice clone.
Connect its mind
Attach an agent persona, memory, and the tools it needs to be useful.
Ready to design your first real-time character?
Open Character StudioVoice
Speech that sounds human
Synthesize, transcribe, clone, and stream speech, the voice building blocks behind every Sunesis product.
Capability guide
Text to Speech
Generate expressive spoken audio from plain text for narration, product UX, and a character's spoken turn.
What to configure
- The text to speak and its intended language
- A voice or approved clone
- Delivery controls such as pace, expression, and audio format
Implementation flow
- 1Create or select a voice in Studio
- 2Send text to the voice generation endpoint
- 3Stream playback immediately or store the returned audio with your asset
In production
Capability guide
Speech to Text
Turn recorded or live speech into structured text your product can search, summarize, or route to an agent.
What to configure
- An audio or video file, or an incoming live audio stream
- Optional language and vocabulary context
- Whether your downstream system needs timestamps or speaker turns
Implementation flow
- 1Upload audio or connect the stream
- 2Request a transcript with the metadata you need
- 3Store the transcript alongside the original session or hand it to an agent
In production
Capability guide
Voice Cloning
Create a reusable voice identity from a clearly consented recording for a person, brand, or approved performer.
What to configure
- A clean, consented recording
- Voice ownership and usage approval
- A name and description your workspace can recognize
Implementation flow
- 1Collect and verify consent before upload
- 2Create the voice in Studio
- 3Review a short test script before using the voice in a production flow
In production
Capability guide
Realtime Streaming
Use bidirectional streaming to make spoken experiences feel immediate in a call, a live agent, or an on-screen character.
What to configure
- A client audio source or text stream
- A selected voice and session context
- Your interruption, buffering, and reconnect rules
Implementation flow
- 1Open a session before the user speaks
- 2Send partial input as it arrives
- 3Play returned chunks incrementally and stop cleanly when the user interrupts
In production
Video
Faces that speak
Turn a script into a talking digital character, generate scenes from a prompt, or train a reusable avatar.
Capability guide
Talking Avatars
Render an on-screen speaker that turns a voice or script into a responsive, lip-synced visual conversation.
What to configure
- A character or approved visual preset
- Spoken audio or a script and voice
- The destination aspect ratio and playback context
Implementation flow
- 1Choose a character in Character Studio
- 2Connect its voice and agent persona
- 3Launch it in your product's call or presentation surface
In production
Capability guide
Video Generation
Produce generated video scenes for product storytelling, campaigns, and character-led creative work.
What to configure
- A scene brief with subject, setting, and action
- An aspect ratio and delivery format
- Optional brand, character, or reference direction
Implementation flow
- 1Draft the scene in Studio
- 2Generate an initial take and review the result
- 3Export approved shots or combine them with voice and character layers
In production
Capability guide
Custom Avatars
Create a repeatable visual persona for a specific person or brand instead of selecting a general-purpose preset.
What to configure
- A properly authorized reference capture
- A character name and intended product role
- A review workflow for test conversations
Implementation flow
- 1Capture approved reference material
- 2Configure the character in Studio
- 3Run voice and video previews before assigning the persona to a live agent
In production
Conversation
Agents that listen and reply
Give agents a persona, memory, and tools, then talk to them over text, voice, or video.
Capability guide
Agents
Build an agent that can speak, listen, remember the current session, and take action through the tools you connect.
What to configure
- A role, operating instructions, and opening message
- A knowledge source or approved context
- The functions the agent is allowed to call
Implementation flow
- 1Define a persona with a clear job
- 2Connect knowledge and tools
- 3Test the full conversation path with expected and edge-case questions
In production
Capability guide
Memory & Sessions
Maintain useful context between turns so the user does not have to repeat their goal, preferences, or previous answer.
What to configure
- A session identifier from your application
- The context that should persist
- Retention and deletion rules appropriate to the experience
Implementation flow
- 1Create a session when a conversation begins
- 2Attach relevant context on each turn
- 3Close or clear the session according to your product's policy
In production
Capability guide
Tools & Actions
Let an agent move beyond conversation by calling your own verified services, from account lookups to appointment booking.
What to configure
- A narrowly scoped function schema
- Validated parameters and a trusted backend
- A user-facing response for success and failure
Implementation flow
- 1Describe the action and its required fields
- 2Validate the request on your server
- 3Return a concise result the agent can explain to the user
In production
Models
The models behind each interaction
Select the right surface for the moment. Sunesis handles the real-time infrastructure underneath.
The flagship text-to-speech model, expressive, multilingual, and quick to first byte (~180ms).
Speech recognition with diarization, timestamps, and strong accuracy on noisy, real-world audio.
Generates talking-head video and trains custom avatars from a short reference clip.
The reasoning model behind agents, with tool use and memory that persists across sessions.
Cross-lingual dubbing that keeps the original speaker's voice, timing, and emotion intact.
Ways to build
Choose the path that fits your team
Use Studio for a fast prototype, then bring the same primitives into your product with the SDKs or API.
Capability guide
Web App
Use Sunesis Studio to prototype a complete voice, video, or character flow before you commit it to code.
What to configure
- A product goal or conversation brief
- The voices, characters, or media assets to explore
- A small test script or scenario
Implementation flow
- 1Create the experience in Studio
- 2Preview it with real prompts and controls
- 3Carry the chosen configuration into your application integration
In production
Capability guide
SDKs
Use the official SDKs when you want typed requests, clear integration patterns, and a straightforward upgrade path.
What to configure
- A server-side Sunesis API key
- Your chosen language runtime
- A place to store generated media or session state
Implementation flow
- 1Install the SDK for your runtime
- 2Initialize it with a server-held key
- 3Call the product primitive and handle the result in your own application
In production
Capability guide
REST API
Use the REST API when you need direct control over HTTP requests, webhooks, or an integration language without an SDK.
What to configure
- A bearer token from your workspace
- A JSON request body for the selected product primitive
- Your own timeout, retry, and idempotency strategy
Implementation flow
- 1Authenticate with a server-side bearer token
- 2Send a focused request to the relevant endpoint
- 3Persist the result or stream it into the next stage of your workflow
In production
Capability guide
MCP Server
Connect Sunesis capabilities to an MCP-compatible development environment so your team can explore and automate the platform from its tools.
What to configure
- An approved MCP client
- A scoped workspace credential
- A clear set of actions the client is permitted to perform
Implementation flow
- 1Add the Sunesis MCP connection
- 2Authenticate with a limited-scope credential
- 3Use tool calls to inspect, prototype, and document your integration
In production
Reference
Endpoints
Every route is versioned under /v1, accepts and returns JSON, and authenticates with the same bearer token. The scope beside each path is the minimum an API key needs to call it.
Voice
/v1/voice/generateGenerate speech
Turn text into spoken audio with a stock voice or one of your workspace's clones. Returns a hosted audio file, or streams PCM frames when you ask for them.
voice:writeBody parameters
voicestringrequiredVoice id or clone id. Clone ids are scoped to the workspace that owns the key.
textstringrequiredThe text to speak. Hard limit 5,000 characters per request; split longer copy at sentence boundaries and keep your own ordering.
formatenumdefault mp3Container for the returned audio. Use pcm16 when you intend to play frames as they arrive.
mp3wavpcm16opusspeednumberdefault 1.0Playback rate between 0.5 and 2.0. Values outside the range are rejected rather than clamped.
languagestringdefault autoBCP-47 tag such as en-US or pt-BR. Left on auto, the model infers it from the text.
streambooleandefault falseReturn a chunked response that begins before synthesis finishes. First byte is typically ~180ms.
Returns
A generation object carrying the audio url, its duration, and the character count that was billed.
Errors
voice_not_foundThe voice id does not exist, or the clone belongs to another workspace.
text_too_longtext exceeded 5,000 characters.
curl https://api.sunesis.ai/v1/voice/generate \
-H "Authorization: Bearer $SUNESIS_KEY" \
-H "Content-Type: application/json" \
-d '{
"voice": "aria",
"text": "Your order is on its way.",
"format": "mp3",
"speed": 1.0
}'{
"id": "gen_9f2c41ab",
"object": "voice.generation",
"created_at": "2026-09-14T10:22:03Z",
"voice": "aria",
"audio": {
"url": "https://cdn.sunesis.ai/gen_9f2c41ab.mp3",
"format": "mp3",
"duration_ms": 1840,
"expires_at": "2026-09-21T10:22:03Z"
},
"billed": { "characters": 25 }
}/v1/voice/transcribeTranscribe audio
Turn recorded speech into structured text with optional word-level timestamps and speaker turns. Accepts a hosted url or a direct multipart upload.
voice:readBody parameters
audio_urlstringoptionalPublicly reachable url of the source file. Supply this or a multipart audio file, not both.
languagestringdefault autoBCP-47 hint. Setting it explicitly measurably improves accuracy on short or noisy clips.
diarizebooleandefault falseSplit the transcript into speaker turns. Adds roughly 15% to processing time.
timestampsenumdefault segmentGranularity of the returned timing data. Word-level noticeably increases response size.
nonesegmentwordvocabularystring[]optionalDomain terms, product names, or proper nouns to bias recognition toward. Up to 200 entries.
Returns
A transcript object with the full text, per-segment timings, and speaker labels when diarization was requested.
Errors
unreadable_audioThe file could not be decoded, or the url returned a non-audio content type.
curl https://api.sunesis.ai/v1/voice/transcribe \
-H "Authorization: Bearer $SUNESIS_KEY" \
-H "Content-Type: application/json" \
-d '{
"audio_url": "https://example.com/call.wav",
"diarize": true,
"timestamps": "segment"
}'{
"id": "txn_4b81de02",
"object": "voice.transcript",
"language": "en-US",
"duration_ms": 12400,
"text": "Hi, I'm calling about my order. Sure, what's the order number?",
"segments": [
{ "speaker": "S1", "start_ms": 0, "end_ms": 2600, "text": "Hi, I'm calling about my order." },
{ "speaker": "S2", "start_ms": 2900, "end_ms": 5200, "text": "Sure, what's the order number?" }
],
"billed": { "seconds": 13 }
}/v1/voice/clonesCreate a voice clone
Register a reusable voice identity from a consented recording. Consent is a required field, not a checkbox in a dashboard — the API refuses the call without it.
voice:writeConsent is required, not advisory
Body parameters
namestringrequiredHuman-readable label shown in Studio and returned on every generation made with this voice.
samplesstring[]requiredOne to five urls of clean recordings. Thirty seconds of clear speech outperforms five minutes of noisy audio.
consentobjectrequiredMust carry `holder` (who the voice belongs to) and `granted_at` (ISO 8601). Stored with the clone and returned on every read.
descriptionstringoptionalFree text describing the intended use. Surfaces in workspace audit exports.
Returns
A voice object in state `training`. Poll it, or subscribe to the `voice.clone.ready` webhook.
Errors
consent_missingThe consent object was absent or incomplete. This call never succeeds without it.
name_in_useA clone with that name already exists in the workspace.
curl https://api.sunesis.ai/v1/voice/clones \
-H "Authorization: Bearer $SUNESIS_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "Northbridge brand voice",
"samples": ["https://example.com/vo-take-1.wav"],
"consent": {
"holder": "Northbridge Media Ltd",
"granted_at": "2026-09-01T09:00:00Z"
}
}'{
"id": "vc_2d90f7c1",
"object": "voice.clone",
"name": "Northbridge brand voice",
"state": "training",
"ready_estimate_s": 90,
"consent": {
"holder": "Northbridge Media Ltd",
"granted_at": "2026-09-01T09:00:00Z"
}
}/v1/voicesList voices
Every stock voice plus the clones your workspace owns. Cursor paginated.
voice:readQuery parameters
typeenumdefault allNarrow the result to one kind of voice.
allstockclonelimitintegerdefault 20Page size, 1 to 100.
cursorstringoptionalThe `next_cursor` from a previous page. Omit for the first page.
Returns
A paginated list object. See Pagination for how to walk it.
curl "https://api.sunesis.ai/v1/voices?type=clone&limit=20" \
-H "Authorization: Bearer $SUNESIS_KEY"{
"object": "list",
"data": [
{ "id": "vc_2d90f7c1", "name": "Northbridge brand voice", "type": "clone", "state": "ready" },
{ "id": "aria", "name": "Aria", "type": "stock", "state": "ready" }
],
"has_more": true,
"next_cursor": "eyJvIjoyMH0"
}Video
/v1/video/generateGenerate talking video
Render an avatar speaking your script. This is an asynchronous job: the call returns immediately with a job you poll or subscribe to.
video:writeBody parameters
avatarstringrequiredAvatar id, stock or custom-trained.
textstringoptionalScript to speak. Supply this or `audio_url`, not both.
audio_urlstringoptionalPre-rendered audio to lip-sync against, when you already generated the voice track.
voicestringoptionalVoice used when `text` is supplied. Ignored if you passed `audio_url`.
resolutionenumdefault 1080pOutput resolution. 4k is available on Scale and Enterprise plans.
720p1080p4kbackgroundstringdefault transparentHex colour, image url, or `transparent` for an alpha channel you can composite.
Returns
A job object in state `queued`. Terminal states are `succeeded` and `failed`.
Errors
missing_scriptNeither text nor audio_url was supplied.
insufficient_creditsThe render would exceed the workspace balance.
curl https://api.sunesis.ai/v1/video/generate \
-H "Authorization: Bearer $SUNESIS_KEY" \
-H "Content-Type: application/json" \
-d '{
"avatar": "av_lumen",
"text": "Here is what changed this week.",
"voice": "aria",
"resolution": "1080p"
}'{
"id": "job_7ac3f01b",
"object": "video.job",
"state": "queued",
"progress": 0,
"eta_s": 42,
"output": null
}Agents
/v1/agentsCreate an agent
Define a reusable agent: its persona, the tools it may call, and the knowledge it is allowed to ground answers in.
agents:writeBody parameters
namestringrequiredIdentifier shown in transcripts and handoff summaries.
instructionsstringrequiredSystem prompt establishing the agent's role, tone, and limits.
voicestringoptionalVoice used for spoken sessions. Text-only agents can omit it.
toolsobject[]optionalFunction schemas the agent may call. Each needs `name`, `description`, and a JSON Schema `parameters`.
knowledgestring[]optionalCollection ids the agent may ground answers in. Anything outside them is out of scope by construction.
memoryenumdefault session`session` forgets at hangup; `persistent` carries context across conversations with the same end user.
nonesessionpersistentReturns
An agent object you can open sessions against.
curl https://api.sunesis.ai/v1/agents \
-H "Authorization: Bearer $SUNESIS_KEY" \
-H "Content-Type: application/json" \
-d '{
"name": "Lumen",
"instructions": "You are a calm customer care guide. Offer a next step, never a ticket number.",
"voice": "aria",
"memory": "persistent"
}'{
"id": "ag_51c7b3de",
"object": "agent",
"name": "Lumen",
"voice": "aria",
"memory": "persistent",
"tools": [],
"created_at": "2026-09-14T10:31:07Z"
}/v1/agents/{agent_id}/sessionsOpen a session
Start a conversation. Returns a short-lived token your browser or device exchanges for a realtime connection — mint it server-side and never ship your API key to a client.
agents:writeMint this server-side
Path parameters
agent_idstringrequiredPath parameter. The agent to converse with.
Body parameters
end_user_idstringoptionalYour stable identifier for the person. Required for `persistent` memory to bind to the right history.
modalityenumdefault voiceHow the session is conducted.
voicetextvoice+videottl_sintegerdefault 60Lifetime of the returned client token, 30 to 600 seconds. Keep it short; it is a bearer credential.
Returns
A session object with a `client_token` and the realtime url to connect to.
Errors
agent_not_foundNo agent with that id in this workspace.
curl https://api.sunesis.ai/v1/agents/ag_51c7b3de/sessions \
-H "Authorization: Bearer $SUNESIS_KEY" \
-H "Content-Type: application/json" \
-d '{ "end_user_id": "user_8821", "modality": "voice" }'{
"id": "sess_0be49a17",
"object": "agent.session",
"agent_id": "ag_51c7b3de",
"client_token": "cst_live_9c81…",
"realtime_url": "wss://rt.sunesis.ai/v1/realtime?session=sess_0be49a17",
"expires_at": "2026-09-14T10:33:07Z"
}/v1/realtimeRealtime connection
The bidirectional channel behind live voice and video. The client connects with the session token, streams microphone frames up, and receives audio, transcript, and tool events back as they happen.
client tokenHandle barge-in from the start
Events you send
input.audiobinaryoptionalPCM16 mono frames at 24kHz. Send continuously; the server handles turn detection.
input.texteventoptionalInject a typed message into a voice session, for a chat box alongside the call.
response.canceleventoptionalBarge-in. Stops the current spoken reply immediately so the user can interrupt.
tool.resulteventoptionalReturn the output of a tool the agent called. The turn stays open until you do.
Returns
A stream of server events: `transcript.delta`, `audio.delta`, `tool.call`, `turn.done`, `error`.
# Realtime is a WebSocket, not a REST call. Inspect it with wscat:
wscat -c "wss://rt.sunesis.ai/v1/realtime?session=sess_0be49a17" \
-H "Authorization: Bearer $CLIENT_TOKEN"// Server → client, one JSON frame per event
{ "type": "transcript.delta", "role": "user", "text": "where is my order" }
{ "type": "tool.call", "id": "tc_1", "name": "lookup_order",
"arguments": { "order_id": "8821" } }
{ "type": "transcript.delta", "role": "agent", "text": "It's out for delivery." }
{ "type": "turn.done", "latency_ms": 184 }Platform
Rules that apply everywhere
Errors, limits, retries, and delivery behave identically across every endpoint above. Build these once and every future capability inherits them.
Errors
Every failure returns the same envelope with a machine-readable code, the offending field where one applies, and a request id worth logging.
{
"error": {
"type": "validation_failed",
"code": "text_too_long",
"message": "text must be 5000 characters or fewer (received 6431).",
"field": "text",
"request_id": "req_1f8ac902"
}
}| Status | Code | Meaning | What to do |
|---|---|---|---|
| 400 | malformed_request | The body was not valid JSON, or a field had the wrong type. | Fix the payload. Retrying an identical request will fail identically. |
| 401 | invalid_key | The key is missing, revoked, or not a bearer token. | Check the Authorization header reads `Bearer sk_live_…`. Rotate if the key leaked. |
| 403 | insufficient_scope | The key is valid but lacks the scope this route requires. | Issue a key carrying the scope listed on the endpoint. |
| 404 | not_found | No such resource, or it belongs to another workspace. | Resource ids are workspace-scoped. Confirm the key and the id come from the same workspace. |
| 402 | insufficient_credits | The request would exceed the workspace balance. | Top up, or catch this and degrade gracefully rather than retrying. |
| 409 | conflict | The resource already exists, or is in a state that forbids the change. | Read the current resource before retrying. |
| 422 | validation_failed | The shape was right but a value was not accepted. | Read `error.field` — it names the offending parameter. Not retryable unchanged. |
| 429 | rate_limited | Too many requests, or too many concurrent jobs. | Honour `Retry-After`. Back off exponentially with jitter; never retry in a tight loop. |
| 500 | internal_error | Something broke on our side. | Safe to retry with backoff. Include `x-request-id` if you open a support ticket. |
| 503 | capacity | A model is briefly saturated. | Retry with backoff. Sustained 503s are reported on the status page. |
Rate limits
Limits are per workspace, not per key, and are reported on every response so you can back off before you are told to.
| Plan | Req/min | Concurrent | Burst |
|---|---|---|---|
| Free | 60 | 2 jobs | 10 |
| Build | 600 | 10 jobs | 60 |
| Scale | 3,000 | 50 jobs | 300 |
| Enterprise | Negotiated | Negotiated | Negotiated |
x-ratelimit-limit: 600
x-ratelimit-remaining: 574
x-ratelimit-reset: 41 # seconds until the window rolls
retry-after: 12 # present only on a 429Pagination
List endpoints are cursor paginated, never offset paginated. Read `next_cursor` from each page and pass it back as `cursor`; a null cursor means you reached the end. Cursors stay stable while new records are inserted, so you cannot skip or double-read a row mid-walk.
let cursor: string | undefined;
do {
const page = await sunesis.voices.list({ limit: 100, cursor });
for (const voice of page.data) process(voice);
cursor = page.next_cursor; // null on the final page
} while (cursor);Idempotency
Any POST that costs credits accepts an Idempotency-Key. Send one and a retried request returns the original result instead of doing the work twice.
curl https://api.sunesis.ai/v1/video/generate \
-H "Authorization: Bearer $SUNESIS_KEY" \
-H "Idempotency-Key: 9f2c-41ab-order-8821" \
-H "Content-Type: application/json" \
-d '{ "avatar": "av_lumen", "text": "Here is what changed." }'
# Replaying the same key within 24h returns the ORIGINAL job
# instead of queueing a second render.Webhooks
Long-running work reports completion by webhook rather than asking you to poll. Every delivery is signed; verify it before you trust it.
Events
voice.clone.readyA clone finished training and can be used for generation.
video.job.succeededA render finished. The payload carries the output url.
video.job.failedA render failed permanently. The payload carries the error object.
agent.session.endedA conversation closed, with duration and a transcript url.
agent.handoff.requestedAn agent decided a person should take over.
import crypto from "node:crypto";
// Signature header: t=<unix>,v1=<hex>. Sign the raw body, never the parsed
// object — re-serialising JSON changes the bytes and breaks the comparison.
export function verify(rawBody: string, header: string, secret: string) {
const parts = Object.fromEntries(
header.split(",").map((kv) => kv.split("=") as [string, string]),
);
const expected = crypto
.createHmac("sha256", secret)
.update(`${parts.t}.${rawBody}`)
.digest("hex");
// Reject replays older than five minutes.
if (Math.abs(Date.now() / 1000 - Number(parts.t)) > 300) return false;
return crypto.timingSafeEqual(
Buffer.from(expected),
Buffer.from(parts.v1),
);
}Key scopes
Keys carry explicit scopes. Issue the narrowest set a service needs, so a leaked key from one surface cannot reach another.
| voice:read | List voices, read clones, read transcripts. |
| voice:write | Generate speech, transcribe audio, create and delete clones. |
| video:write | Train avatars and submit render jobs. |
| agents:read | Read agents, sessions, and transcripts. |
| agents:write | Create agents and mint session tokens. |
Operations
Run Sunesis with confidence
Controls for the team that owns the integration: keys, usage visibility, and enterprise safeguards.
Keep generation spend visible
See workspace credits, compare production needs, and choose the plan that matches your character, voice, and agent volume.
View pricingScale with clear controls
Give teams the access and operational support they need when real-time AI becomes part of a customer-facing workflow.
Explore enterpriseNext steps
Continue building
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