Threadify is the layer
your stack is missing.

Real-time execution graph infrastructure that tracks what your business process actually did — across every service, every team, every boundary.

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See Threadify in action

Here's a quick story

authorize_payment($24/.50)payment-svc · 142ms
fraud_check()risk-svc · 89ms
fulfill_order()never recorded
notify_customer()never recorded
process went silent after step 2 · thread:order-8821
CHAPTER 01 · THE BLIND SPOT

It returned 200.
The order never arrived.

The payment API responded. No exceptions anywhere in the stack. Grafana is green. But fulfillment never ran — and nothing caught it because your tools were watching your infrastructure, not your business process.

Threadify instruments the layer between your services. The business steps your logs were never designed to track.

create_account
auth-svc
verify_email
comms-svc
provision_workspace
infra-svc
assign_plan
billing-svc
CHAPTER 02 · INSTRUMENT & DISCOVER

Instrument once.
The graph emerges.

No schema to define. No process documentation required. Wrap your business steps with the Threadify SDK and a live execution graph builds itself — across every service, in real time.

Most teams discover their real process looks nothing like the Confluence doc. Now you know what it actually is.

CHAPTER 03 · VALIDATE

Now you can see it.
Now you can validate it.

Write a contract — define the correct sequence — and Threadify validates every execution against it in real time. The moment a step runs out of order, gets skipped, or violates a rule, you know instantly.

Not from a batch job. Not from a customer ticket. The instant it happens.

contract.yml
steps:
- kyc_check
- approve_account
- activate_card
- notify_customer
kyc_check → approve_account
✓ sequence valid
activate_card
✗ kyc_check skipped
violation detected
thread:onboard-4421
A THOUGHT

Built it with AI?
Now make sure it actually works.

Vibe coded apps run. They just don't always do what you think. Instrument with Threadify and see exactly what your AI-generated system is doing in production — before your users find out.

your org
place_order
orders-svc
payment_captured
payment-svc
notify_customer
comms-svc
logistics partner
fulfill_order
warehouse-svc
dispatch_courier
logistics-svc
CHAPTER 04 · CROSS-BOUNDARY

Your process doesn't stop
at your API boundary.

Invite a partner into the thread. Their services instrument their side. You get one shared execution graph across organizational boundaries — their steps and yours, in the same coherent timeline.

No more "send me your logs." No more cross-company finger pointing. One thread. Full picture.

CHAPTER 05 · REACT

Don't just watch it.
Take action on it.

Wire up actions to process state. When a trial expires and payment fails, suspend the account and send a proactive message — automatically, the moment the process says so.

Your system stops being reactive. It becomes context-aware.

suspend_account()
access blocked
payment_failed
billing-svc · stalled
notify_customer()
proactive message sent
alert_oncall()
pagerduty triggered
your_system
context-aware
execution graph
place_order
fraud_check
fulfill_order
llm agent
"why did this order stall?"
"fulfill_order never recorded after fraud_check passed"
MCP
fix bug
CHAPTER 06 · LLM CONTEXT

Give your AI agents
full execution context.

Threadify's MCP server exposes your execution graph to any LLM agent. Instead of reasoning from raw logs, your agent sees exactly what the business process did — every step, every outcome, across every service involved.

Ask it what happened. Ask it why it failed. Ask it what should happen next. It knows.

READY TO INSTRUMENT

See your first execution graph
in under 5 minutes.

No schema · No contracts required · Just instrument and go

Read the Docs

Built for intelligent systems.

Turn execution into intelligence to answer questions instantly, prevent failures, and build smarter systems.

Capture Customer Journeys

See exactly how your system delivers on every customer request, step by step across all services.

Catch Violations Instantly

Validate your execution workflow in real-time and catch business logic violations the moment they happen.

Build Context-Aware Systems

React intelligently to violations and state changes with full awareness of what your process is doing.

Resolve Tickets Faster

Empower support teams to diagnose issues and answer questions without waiting for engineering.

Empower Your LLMs

Give your AI agents complete execution context so they can make better decisions for you.