Symposium for Salesforce

Your Salesforce org, read from its source.

Point it at the folder you retrieve your org into and ask in plain language. Answers cite the file and line and Salesforce's own documentation. Every pull is checked for risks when it's saved, with no AI, and a second AI reviews what the first one makes. Read-only by design.

Open Salesforce mode See what it does

20 free sessions on the web with your own API keys, 5 of them for Salesforce or Analyze.

The Dashboards overview in Salesforce mode: since the last pull 3 risks appeared and 2 cleared, 1 Flow was activated and 2 installed packages changed; tiles for 10 critical and high risks, DataStorageMB at 60.0% of its limit and 417 components changed; and previews of Org limits, Open risks and Changes since the last pull — Dashboards on a demo org: what changed since the last pull, the open risks and the limit closest to its maximum. Built from your pulls and limit readings, with no AI.

Works with

Claude
ChatGPT
Gemini
Perplexity
Mistral
Cohere
DeepSeek
Grok
Kimi
GLM
Runway (video)
ElevenLabs (audio)

01Symposium for Salesforce

17 jobs. Start from what you want back.

Open your workspace and pick a job: an answer, a diagram, a model or a report. Each asks only for what it needs. Or ask your own question and let the AI choose.

Understand

Answer
Explain how something works
Diagram
Draw the data model
Diagram
Show a Flow and what it starts
Diagram
What runs when a record saves

Change safely

Model
What a change would touch
Report
Troubleshoot an error
Report
Get ready for a release or a feature
Report
Hand off to a developer

Access and email

Model
Who can see these fields
Report
Review access and governance
Report
What sends email
Report
How email gets captured

Org health

Model
When we'll hit an org limit
Report
Audit the workspace
Report
Compare two orgs
Report
What changed since an earlier pull

Code

Report
Review code

In the Code tab

Answer
Explain or ask about a file
No AI
Findings on every pull
No AI
Find what uses a field

A booking cancellation Flow drawn like Flow Builder, with record changes highlighted and an inspector warning about an update inside a loop with no fault path — A Flow, drawn like Flow Builder. Highlight DML marks every record change. The inspector flags an update inside a loop, against the 150-statement limit, and a step with no fault path.

An editable data model diagram of Contact, Booking, Experience, Session, Credit, Guest Review and Guest Incident objects with their fields — The data model. Your own objects first, each with its sharing model and record types.

A rename-impact model in Salesforce mode: its inputs, and each component that refers to Experience__c.Price__c with its file and line — What a change would touch. Rename a field and see everything that refers to it, each with its file and line.

Every pull checked. Your code reviewed.

Each pull is checked when it's saved, with no AI. Review code says which findings matter on your org and suggests fixes.

Code in Salesforce mode on the demo workspace: the tree of Apex classes, BookingTriggerHandler.cls open with syntax highlighting, and its methods, risks and uses beside it — Code. A trigger handler with its methods, the risks found in it, and every object and field it uses, each with its line.

A suggested fix to ListExperiencesFromType.cls, applied to the pull's copy: the query that ran once per input is removed, and one query with USER_MODE before the loop is added, with Download patch and Copy for your CLI — A suggested fix. Shown applied to the pull's copy of the file, and editable. Download it as a patch or copy it for your CLI agent. Symposium never deploys it.

Never connects to your org: You upload metadata you already pulled. No org credentials, no deploys, no data writes.
Your metadata, your sandbox: The workspace is read in a private sandbox for your session, with no internet access.
Org facts from your own CLI: When metadata isn’t enough, your Claude Code or Codex gathers the facts, read-only.

It cites what it read.

Your org's behavior cites the file and line: a Flow element, a line of Apex, a validation rule.
Platform facts cite a passage from Salesforce's documentation the AI actually received, or are marked unverified.
The Reviewer checks each Salesforce claim against the passage it cites.

An Analyze answer explaining what runs when a booking is canceled, with inline citations to Flow files and line numbers — A cancellation, walked through in the order Salesforce runs it, each step cited by file and line.

When the metadata isn't enough, it asks.

01The AI writes the questions. The run pauses with a brief: each question, why it matters, and the checks to run.
02Your CLI agent runs them. Paste it into Claude Code or Codex in your Salesforce project. It queries your org read-only and writes a findings packet.
03The packet comes back. In Chrome or Edge it appears on its own; elsewhere, import it from the folder.

An evidence request card: why two readings can't show growth, two unverified claims, and Copy CLI handoff prompt, Import agent findings and Continue without org evidence — An org-limit forecast with only two readings four hours apart, so it asks your CLI agent for newer ones.

Read real output from a demo org

For admins, architects, developers, release managers, and consultants.

Salesforce, Apex and Flow Builder are trademarks of Salesforce, Inc. Claude Code is made by Anthropic and Codex by OpenAI. Symposium AI is not affiliated with or endorsed by any of them. Screenshots show a demo org built from Salesforce's Coral Cloud sample app.

02Two roles

One AI does the work. Another checks it.

Put a frontier model in charge of the work and a model from another provider on review. The Reviewer never edits what the Operator made: you choose which of its points go back.

You
Pick the roles, then ask
Choose the AI that does the work and the one that checks it. Bring your Salesforce workspace, your files or any of 38 data connectors.
Operator · your frontier model
Does the work
In a private sandbox it reads your org’s metadata, or writes and runs Python on your data and primary sources. It asks you when it needs to know more, and writes the answer, report, model or diagram.
Reviewer · another model
Critiques it, never edits it
Prioritized points you triage, with Check independently on any of them.
You
Choose what goes back
Send the points you agree with to the Operator. It revises, and the Reviewer checks the revision.

The Review Queue beside a session: a prioritized point from ChatGPT with its confidence, its files and the Check independently button — The review queue. ChatGPT's points on Claude's report, each with its priority, confidence and the files it applies to, and Check independently.

Symposium for Salesforce and Analyze work with Claude, ChatGPT, Gemini, Grok, Mistral, Cohere, Kimi, and GLM. Any of them can take either role. Web only for now.

03Analyze, for any data

AI analysis you can check.

Beyond Salesforce, ask about your own data or the world's. One AI does the analysis, a second AI critiques the result, and every figure links back to its source.

Open Analyze Read a real report

An Analyze report on regional development since 2005, open at its overview with the headline ranking and numbered source markers — A finished report on symposiumai.app: the headline ranking, each sourced figure with its marker.

One number, checked three ways.

Take any figure in a Symposium report. You can see where it came from, what a second AI made of it, and whether a different AI gets the same answer from the same sources.

1The finding
South Asia led because it improved on all three measures at once: GDP per capita grew 134%, life expectancy rose 7.2 years, and secondary enrollment rose 23 points. [1]
Written by Claude, the Operator.
2The source
[1] World Bank data
Request
The exact call the code made
Time
When it was fetched
Fingerprint
A hash of the response
Recorded by the fetch itself, not written by the model.
3The critique
P1Counter-checkConfidence: highby ChatGPT
Name the exact World Bank aggregate codes, and say whether “East Asia” includes the Pacific. If the boundaries can't be matched, make the headline ranking conditional on the definitions.
The Reviewer never edits the report. You choose what goes back.
4The check
Check independently
A different AI re-fetches the sources, redoes the numbers, and marks the point:
ConfirmedDisputedUnverifiable
Nothing goes back to the Operator until you send it.

Your files stay in your sandbox: Uploads go into a private Python sandbox for your session on our servers, with no internet access, and are kept with the session in our cloud storage. The model sees what its code prints and the pages it opens.
Provenance is captured, not curated: Every fetch records the request, the time, and a response fingerprint. They flow into inline markers, a Sources panel, and an appendix in every export.
Real data only: The Operator is instructed never to invent, sample, or guess values, and never to fall back silently to training data. If it cannot get the data, it says so.

04Samples

Read the work before you sign up.

Real files from real Analyze sessions. Open one and follow a citation to its source.

All samples →

05Who it's for

People who have to show their sources.

06On iPhone and Android

Ten AIs in your pocket.

Chat, Compare, Debate, and Create all start at one prompt bar. Pick up to three AIs and let them check each other.

Multi-AI chat
The Forum
Up to three AIs in one conversation, with cited web search.
Compare
The Lens
Two answers side by side. Keep going with the better one.
Debate
The Arena
Two to four AIs argue a motion, with scoring and voting.
Create
The Studio
Images, video, and audio from several providers, one composer.

Also inside: attachments on your first message, Oxford, Lincoln-Douglas, and Policy debate formats with ElevenLabs voices, video through Runway, eight AI personalities, and Expert Mode with live model pricing.

07Pricing

Your keys. Provider prices. One $5.99 app.

Two bills, both plain: the app, and whatever your providers charge for what you use. No markup, no caps, and the price is shown before you send.

The app

$5.99 a month

7-day free trial, on the web, iPhone, and Android.

Symposium for Salesforce and Analyze
Chat, Compare, Debate, and Create
Every supported provider, plus web search with cited sources
Exports: PDF, PowerPoint, Word, Excel, interactive page
Image, video, and audio generation

Or $59.99 a year, on every platform. On mobile, also $129.99 once for lifetime access. Cancel anytime.

Your provider bill

At cost

Billed by OpenAI, Anthropic, Google, and the others.

A frontier model where it matters, faster ones for the legwork
Web: keys are stored AES-256 encrypted on the server and never sent to the browser
Mobile: keys stay on your device

If you run frontier models all day, your API bill will look like a subscription.

Try it free. 20 sessions on the web with your own keys, 5 each for chat, compare, debate, and analyze. Salesforce mode runs in Analyze and counts against its 5. Demo Mode on mobile needs no account.

Live sessions require your own provider API keys plus free sessions, an active trial, or a subscription.

Start with one question.

Open Salesforce mode Open Analyze Get the app

FAQs/Support/Privacy

Your Salesforce org, read from its source.

17 jobs. Start from what you want back.

Every pull checked. Your code reviewed.

It cites what it read.

When the metadata isn't enough, it asks.

One AI does the work. Another checks it.

Pick the roles, then ask

Does the work

Critiques it, never edits it

Choose what goes back

AI analysis you can check.

One number, checked three ways.

Read the work before you sign up.

People who have to show their sources.

Ten AIs in your pocket.

The Forum

The Lens

The Arena

The Studio

Your keys. Provider prices. One $5.99 app.

Start with one question.