DFW-based AI software studio

Production software for operators who cannot afford guesswork.

NextEleven builds AI, market, inventory, and operational systems for businesses where accuracy, traceability, and reliable operation matter. Clients work directly with the owner responsible for defining, implementing, and handing off the work.

System boundaryOperator controlled
01SourceMarkets, inventory, operations
02VerifyRules, retrieval, failure gates
03ActHuman or bounded system action
Unknown states stay visible
Source-grounded AIOperational workflowsMarket and signal toolingOwner-operated in DFW

Work / products

Systems built around real failure costs.

Each build starts with what must remain accurate, what can safely happen automatically, and what needs an operator in control.

01 / Markets

Market-data, signal, and prediction-market tooling

Market systems built around rules, records, and explicit failure boundaries—not promised outcomes.

Capabilities include Bitcoin and event-contract market data, signal pipelines, FastAPI services, containerized components, monitoring, reconciliation, and operator-controlled execution paths.

  • Signal pipelines
  • FastAPI services
  • Docker ensembles
  • Operator controls
BoundaryNo investment result, profit, activity level, win rate, or availability is promised. Live transactions can lose their full entered cost and applicable fees.
Explore market systems
02 / Parts

Parts lookup designed to return evidence—or an explicit unknown.

A retrieval and graph foundation for multi-rooftop dealership groups.

The implemented design grounds results in approved inventory and relationship data. When available records do not support an answer, the interface is designed to expose that uncertainty rather than fabricate a confident result.

  • RAG retrieval
  • Graph relationships
  • Source-backed answers
  • Explicit unknown states
Explore parts intelligence
03 / Custom builds

Software shaped around the operation—not the other way around.

NextEleven builds focused systems for lot management, field-service operations, agent platforms, and client-facing websites. Work can begin with one painful workflow and expand only when the foundation proves useful.

Lot and asset operationsTrack movement, condition, status, and next action around physical inventory or field assets.
Field-service workflowsConnect intake, scheduling, dispatch, technician context, customer communication, and follow-through.
Agent platforms and client systemsBuild source-grounded assistants, internal tools, integrations, and modern public websites around the operation.
Discuss a custom build

Selected delivery

Work you can inspect.

  • JP TransmissionBilingual web presence with distinct buyer and seller journeys, responsive layouts, and a configured inquiry path. Inventory, ecommerce, and checkout remain future scope.View site
  • NextEleven HarnessRust agent-platform proof of concept with user-selected provider/model routing, sandboxed tools, MCP, and a documented automated test suite.View brief
  • PersonalRAGVaultLocal-first retrieval with hybrid search, reranking, source citations, and formal evaluation.View brief

Ways to work together

Start with the operational problem.

Every engagement begins by defining what must work, what can fail, who makes the decision, and how the result will be verified.

01

Source-grounded AI workflows

Retrieval, agent-assisted workflows, integrations, human review, escalation, and explicit failure handling.

02

Operational software

Inventory, lots, dispatch, internal tools, operator dashboards, and multi-location workflows.

03

Market tooling

Market data, signal pipelines, eligibility rules, monitoring, reconciliation, and bounded execution infrastructure where appropriate.

04

Web presence and portals

Custom websites, inquiry paths, customer interfaces, and foundations that can later connect to commerce or operations.

Web presence services
05

Stabilization and handoff

Diagnose failures, finish incomplete systems, add release checks, and leave operators with usable documentation.

Approach

Small studio. Direct responsibility.

The person defining the system remains accountable for making it work, documenting its boundaries, and handing it over clearly.

  1. 01

    Map the operation

    Understand the users, systems, constraints, failure costs, and current workarounds.

    Output: problem map and recommended boundary.
  2. 02

    Define the build

    Write the scope, integrations, responsibilities, acceptance conditions, and exclusions.

    Output: build plan with inspectable milestones.
  3. 03

    Build and test

    Deliver the smallest useful production slice, then test normal operation and important failure paths.

    Output: working software and verification evidence.
  4. 04

    Deploy and operate

    Launch with documented ownership, access, monitoring, support, and expansion boundaries.

    Output: production handoff or agreed operation.

Owner-operated in DFW

Execution over credential theater.

NextEleven is an owner-operated software studio in the Dallas–Fort Worth area. Founder Sean McDonnell is a self-taught builder focused on shipped systems, practical investigation, and clear technical boundaries.

The work is judged by what has been implemented, what can be inspected, how it behaves under relevant tests, and whether another person can operate or maintain it from the handoff. Sean has 12 applications published on Apple’s App Store through NextEleven; no downloads, revenue, ratings, users, or adoption are claimed from that publication record.

Start a conversation

What needs to work better?

Describe the broken workflow, missing system, or operational risk. You do not need a finished specification to begin.

Your brief is used to evaluate fit and determine the next step. Do not include passwords, API keys, account credentials, or other sensitive records.