AGENTIX · OWNED PRODUCTAI PLATFORM · 2026
§ Owned product · proprietary

Autoagentix Chat

The machine that produces business assistants

Autoagentix Chat is a factory that builds a business its own AI assistant. Point it at a system; it reads that system several ways, works out what the application does, builds the assistant (knowledge base, tools, workflows, gates), proves it, and lets that business's own people operate it in plain English.

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0ways it reads a system · repo, DB, API, docs
0web frameworks scanned
0MCP engine verbs
Honest status: this is early

Autoagentix Chat is in active development (Early · v0.1.0). It is not yet a finished, generally-available product. What's below describes what it does today, not a roadmap dressed up as a result.

§ Who it is for

A defined user.
A specific problem.

Audience

Product and engineering teams that need a business-specific assistant grounded in an existing application, database, API and documentation.

Pain

A prompt-only assistant can sound convincing while inventing application behaviour, and a hosted black box leaves the business without the grounding files or a repeatable evaluation baseline.

§ What it is

The machine that produces business assistants.

Autoagentix Chat is not a chatbot; it is the machine that produces them. It reads a business's system four ways, a repository scan across eight web frameworks, database introspection for Postgres and MySQL, live API probing, and the business's own documentation, and every fact it records cites the file and line it came from. From that it works out what the application actually does, in the business's own vocabulary, then generates the assistant: tools, workflows, sub-agents and permissions, each derived from a grounded fact, with anything that mutates stopped for a person. It builds a real, cited knowledge base, runs the conversation behind visible plans and per-gate approvals, and exposes eight engine verbs to MCP clients like Claude and ChatGPT. It proves itself with a package-derived eval suite that ships inside the handover, and hands the business its own files: adapter, corpus, capability manifest, eval report and README. Every new business is configuration, not a rebuild.

§ The change

Before → system → after.

01 · Before

A generic assistant is briefed by prompt and cannot show where its understanding of the business came from.

02 · Autoagentix Chat

Autoagentix Chat reads four source types, records cited facts, generates bounded tools and runs a package-derived evaluation suite.

03 · After

The business receives its adapter, corpus, capability manifest, evaluation report, README and a baseline it can run again.

§ How it works

A visible path
through the system.

The steps below describe the current product behaviour from the documented source of truth.

  1. 01

    Read four ways

    Scan the repository, introspect Postgres or MySQL, probe the live API and ingest the business's documentation.

  2. 02

    Build cited facts

    Structure and classify what was found, with repository and document facts citing the file and line that supports them.

  3. 03

    Generate bounded capability

    Derive the assistant's tools, workflows, sub-agents and permissions from grounded facts; refuse effects that cannot be determined.

  4. 04

    Evaluate and hand over

    Run the package-derived evaluation suite, record a baseline and export the owned package to the business.

§ What it does

Built, not planned.

Reads a system four ways

Repository scan across eight web frameworks, database introspection for Postgres and MySQL, live API probing, and the business's own docs, with every fact cited to file and line.

Generates, and refuses

Builds tools, workflows, sub-agents and permissions from grounded facts. An operation whose effect can't be determined is refused with its reason; anything that mutates stops for a person.

Cited knowledge base

Structure-aware chunking and classification before indexing, so the assistant's answers cite the business's own documents.

Proves itself

A package-derived eval suite ships inside the handover with a baseline, so the business can re-run it later and be told exactly what regressed.

The business owns it

Handover exports the adapter, corpus, capability manifest, eval report and README through the same validator. A new business is configuration, not a fork.

§ Stack

Deterministic core.
Provider-agnostic edge.

PythonFastAPIHTMXSSEMCPMongoDB
§ Practical fit

Deployment, with
the boundaries visible.

Deployment

The handover is an owned package built on Python, FastAPI, HTMX, SSE, MCP and MongoDB. It includes the adapter, corpus, capability manifest, evaluation report and README, and exposes eight engine verbs to MCP clients such as Claude and ChatGPT.

Limitations

  • Autoagentix Chat is v0.1.0 and in active development; no measured production outcomes are claimed.
  • The current documented readers cover eight web frameworks, Postgres, MySQL, live APIs and supplied documentation.
  • An operation whose effect cannot be determined is refused, and anything that mutates state stops for human approval.
  • Citation behaviour depends on facts recovered from the connected sources; unsupported facts are not generated as capabilities.
Next step

See whether Autoagentix Chat
fits your system.

We'll show what exists today, state the limits plainly and decide whether an early product is the right fit.

Explore a grounded-assistant build →See other owned products →
AGENTIX TECH · owned product · In active development