They specify in chat. Thought Graph evolves the application for them.
Specify
A power user describes the work in chat.
A power user describes the work in chat.
No reusable workflow yet
Lexie
Reasoning through the request
I want to find new prospects using referrals from our existing customers.
A specification — but it is not a system yet
Build
That request becomes part of your application.
That request becomes part of your application.
Thought Graph · build
Specify → verify → present results
Thought Graph — an org chart of symbolic and probabilistic sub-agents
Specification
orgWarm-Path Finder · executable specification
Live · domain experts editing together
Find the strongest warm introduction paths from your network into executives at qualified prospects in a chosen region. Domain experts specify the brief; the runtime searches CRM tables, scores paths, researches signals, and returns a ranked dashboard.
Success criteria
Return ≥3 paths with warmth ≥ 0.8, preferring board overlap and prior customers.
Gather Inputs — Target role, region, and intro preferences
Data Access — CRM prospect accounts & contacts in the region
Symbolic Logic — Score paths by warmth, reach, and recency
AI Research — Board, alumni, and news signals into a brief
Present Results — Ranked intro paths with a visual dashboard
Lexie writes the specification: inputs, processing, output
Reuse
Next time they ask, your app already does it.
Next time they ask, your app already does it.
Same app · any region
Lexie
Running Warm-Path Finder
Same thing for Phoenix.
Phoenix, same workflow. Instant.
BUILT AND REFINED IN PRODUCTION
Built and refined through real applications spanning healthcare, crypto infrastructure, data infrastructure, and GTM operations.
High-level enough for domain experts. Precise enough for an autonomous software lifecycle.
Thought Graph captures business logic as an executable specification using org charts, flowcharts, data models, interaction specifications, and wireframes. Domain experts work above implementation details, while the runtime automates the lifecycle below.
01 · Specify
Define the application through org charts, flowcharts, data models, interaction specifications, and wireframes.
02 · Verify
Execute and debug against the specification before you ship.
03 · Deploy
Ship one specification to SaaS, plugins, or a standalone app.
04 · Observe
Audit what ran with metrics, traces, and a clear trail.
05 · Improve
Evaluate, remediate, and update the living specification.
Executable
spec
Specify
Specify
Verify
Deploy
Observe
Improve
Code when needed · generated under the specification, not the source of truth
Native to the runtime
When everything lives at the specification level, these capabilities are free — supported natively by the runtime, not bolted on later.
One executable specification. The ramifications below come with that choice — evaluation, multi-channel UI, AI access, and user customization are not separate products to buy or integrate.
Spec-level → runtime
Included · not integrated later
What you get for free
Unlike no-code / low-code platforms and agent builders, generates code where needed while keeping an accurate, executable specification as the source of truth — no dead end when templates run out.
The runtime checks behavior against the specification and remediates when something drifts or fails — built in, not a sidecar.
Symbolic and probabilistic reasoning share one harness — the same executable specification.
Web, text, and voice on desktop and mobile share one implementation. Handoffs across surfaces are runtime-supported.
Every UI is chattable; every backend service is MCP-ready. No separate agent module, no slow browser agents — open the gate and grant permissions.
Your power users can tell when the system is wrong better than any engineer or PM. Give them the spec — they evaluate and customize the software directly.
Ship without a release train
With a single click, a Thought Graph can run inside the tools you already use — or as its own application.
One-click deploy as
Destination 1
Deploy into partner SaaS solutions your teams already use — no separate stack to adopt.
Destination 2
Publish as a plugin for AI models and agents so capabilities show up in conversational workflows.
Destination 3
Launch a standalone application when you need a full product surface of your own.
From specification to a running application