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Deterministic AI workflows. Every time.

Diaphora is the runtime engine for reliable AI workflows. Developers create typed, versioned plans — structured workflows with scoped sessions and schema-enforced outputs — and expose them confidently to web, mobile, and AI clients.

Plan Marketplace

call-prep.yaml

E

Extract

calendar-signals

›

M

Map

crm-context

›

A

Aggregate

prep-summary

Tools

Google Calendar

Slack

Salesforce

Sessions

1

calendar-events

2

search-messages

3

query-account

4

query-opportunity

Schema keys

✓

meeting_details

✓

participants

✓

external_emails

Typed output

Open the demo to run Call Prep →

The Problem

Prompts break. Plans don't.

Autonomous agents and ad-hoc prompt chains make AI unpredictable, hard to debug, and impossible to trust at scale. Diaphora replaces orchestration chaos with deterministic contracts.

Non-deterministic
→
Deterministic
Context bloat
→
Scoped sessions
Free-form output
→
Typed schema
Silent failures
→
Full auditability
One-off prompts
→
Reusable plans

Prompt journey today

1

Overloaded

Without Diaphora

Write a giant prompt

Paste everything — context, instructions, format requirements — into one massive prompt.

"Please analyze this data and also summarize and also extract and format it nicely and make sure to..."

With Diaphora

Define a typed plan

Declare tools, parameters, sessions, and schema once. Versioned, reusable, and explicit.

requiredTools: - gcal - salesforce parameters: meetingQuery: string

Prompt journey today

2

Unreliable

Without Diaphora

Hope the model stays focused

Cross your fingers the LLM doesn't drift, hallucinate, or ignore half your instructions.

Output varies. Sometimes great. Sometimes completely wrong. No way to know why.

With Diaphora

Sessions with scoped context

Each LLM call gets exactly the context it needs — nothing more. No bloat, no drift.

sessions: fetch-signals build-prep publish Each step is isolated and deterministic.

Prompt journey today

3

Brittle

Without Diaphora

Parse free-form text output

Write brittle regex or another prompt just to extract the data you actually needed.

if output.contains("sorry") { retry() } // yes, really

With Diaphora

Schema-validated output

Every run returns a typed, validated object. Same shape every time. Machine-consumable.

schema: meeting_details: object signals: array prep_summary: object notion_publish: object

Prompt journey today

4

Invisible

Without Diaphora

It breaks on the next run

Model update? New input format? Edge case? Your whole workflow silently produces garbage.

❌ TypeError: Cannot read properties of undefined ❌ Output schema mismatch ❌ Silent hallucination

With Diaphora

Full auditability

Every execution is logged, versioned and traceable. Know exactly what ran and why.

run_id: abc123 plan_version: v2.1 sessions: 3 pre_calls: 4 errors: 0

Sound familiar?

Get early access and fix it for good →

Why Diaphora

Far from inevitable.

Unpredictable outputs and context bloat aren't AI's nature — they're symptoms of the wrong abstraction. Diaphora fixes the abstraction.

0

drift between runs

No Prompt Drift. Ever.

Every Diaphora plan is a versioned contract. LLM sessions fire with exactly the context they need — scoped, isolated, and schema-validated. The same plan runs identically on run 1 and run 10,000.

3×

more focused than monolithic prompts

Scoped Sessions, Not Bloated Prompts

Instead of stuffing everything into one giant prompt, Diaphora chains focused sessions via dependsOn — each LLM call sees only what it needs. Less hallucination, more precision.

100%

schema-validated outputs

Every Output is a Typed Schema

Plans don't return free-form text. They return typed, validated objects — pinned to the session that produced them. Pipe directly into your data pipeline, CRM, or any downstream system.

∞

reusable across any input

Plans Are Reusable Infrastructure

Parametrizable plans work like APIs. One sales-call-prep plan works for every meeting. Versioned, auditable, shareable across teams — not a one-off prompt buried in a Notion doc.

Use Cases

Built for every workflow.

One plan format. Any tool. Any team. From sales ops to engineering intelligence — if it touches data and an LLM, Diaphora can make it deterministic.

All

Sales

Sales Ops

Revenue

RevOps

Strategy

Engineering

Sales Call Prep

Sales

Weekly Sales Audit

Sales Ops

Pipeline Health Analysis

Revenue

Post-Call Analysis

RevOps

Competitive Intelligence

Strategy

Sprint Review Report

Engineering

Sales Call Prep

Sales

Pull calendar, Slack signals, and Salesforce data — then generate a structured meeting brief and publish it to Notion before the call.

View Full Plan

Runs in under 30s before any sales call.

Tools

GCal

Slack

Salesforce

Notion

Sessions

1

fetch-signals

2

build-prep

3

publish-to-notion

Schema Output

✓

meeting_details

✓

signals

✓

prep_summary

✓

notion_publish

How It Works

The EMA Pipeline

Each stage extracts, manipulates, or aggregates data — with LLM sessions fired at precise moments with scoped context only. No bloat. Always returns a typed schema.

Plan Input

meetingQuery: "Acme Corp"

E

fetch-signals

prompt

Pull raw data from Calendar, Slack, and Salesforce in parallel preCalls.

GCal

Slack

Salesforce

M

build-prep

prompt

LLM session with only the signals in context. Builds structured meeting prep.

A

publish-to-notion

prompt

Final session writes the result to Notion and returns a typed schema.

Notion

Typed Schema Output

meeting_details · signals · prep_summary · notion_publish

diaphora · fetch-signals

RUNNING

E · Extract

fetch-signals

LLM Session · extract_signals

Scoped prompt: given raw data, extract only relevant signals for the meeting.

schema output →

{

title: "Acme Corp Call Prep

participants: [...]

opportunity: { stage: "Proposal" }

slack_msgs: 20 results

}

Plan Anatomy

A plan is the engine's manifest.

Declare your tools, parameters, sessions, and output schema in YAML. Diaphora executes it deterministically — every time.

Visit Plan Marketplace

sales-call-prep.plan.yaml

VALID

1

requiredTools:

2

- name: GCal

3

type: mcp

4

- name: Salesforce

5

type: mcp

6

- name: Slack

7

type: mcp

9

parameters:

10

- name: meetingQuery

11

schema:

12

type: string

14

sessions:

15

fetch-signals:

16

preCalls:

17

- name: calendar_events_list

18

- name: search_messages

19

- name: queryOpportunity

20

prompt: |-

21

"Extract relevant signals..."

23

build-prep:

24

dependsOn:

25

- session: fetch-signals

26

context: true

27

prompt: |-

28

"Build meeting prep summary..."

30

publish-to-notion:

31

dependsOn:

32

- session: build-prep

33

tools:

34

- name: notion

35

prompt: |-

36

"Create Notion page, return URL..."

38

schema:

39

type: object

40

properties:

41

meeting_details:

42

x-session: fetch-signals

43

signals:

44

x-session: fetch-signals

45

prep_summary:

46

x-session: build-prep

47

notion_publish:

48

x-session: publish-to-notion

MCP Tools

Declare any MCP tool — GCal, Salesforce, Slack, Notion. Diaphora handles auth, routing and retries.

MCP Tools

L1–7

Parameters

L9–12

Sessions

L14–36

Output Schema

L37–48

✓ schema-validated  ·  ✓ versioned
✓ parametrizable  ·  ✓ auditable

Platform Architecture

Instruction Engine Core

Five tightly integrated components — each purpose-built to handle workflow execution through its instruction engine with enterprise IAM, routing, and persistence.

01 / 05

The execution language

Instruction Engine

Plan-based workflow definition — the execution language for AI precision and deterministic control. Define once, run reliably every time with full schema validation.

Human-defined plans with tight scope and schema validation — no surprises, no endless tweaking, just reliable automation that scales.

Instruction Engine

Plan-based workflow definition — the execution language for AI precision and deterministic control. Define once, run reliably every time with full schema validation.

IAM & Gateway

Secure entry point for all systems calling Diaphora. Handles authentication, federation, enterprise SSO, role-based access, and multi-tenant isolation.

Router

Dispatch layer that routes workflow steps to the appropriate LLM, tool, or external system while maintaining deterministic execution.

Storage

Persistent state layer for plan configuration, connection management and plan execution history.

Runner

Execution environment that performs workflow steps with guardrails, retries, and integration hooks.

Limited Beta Access

Stop wrestling with
unpredictable AI.

Join engineers and ops teams building workflows that run the same way every time. Deterministic by design.

No credit card · Invite only