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LenSA · AI for 1C queries

From a task description to a ready-to-use 1C report

LenSA studies your configuration, builds and runs the query, then creates a connectable report or data processor with a form.

If you are looking for a way to apply AI in 1C: LenSA answers questions about your database — where the data sits, why a report adds up wrong, how to get the selection you need. Knowing the query language is not required.

Actual metadata instead of guesses. A ready file instead of text that still has to be transferred into Configurator by hand.

Works with 1C:Enterprise 8.3.16 or newer, including 8.5, in managed forms mode.

One purchase — yours permanently, with no database limit. The Console works offline; coins are used only by the AI assistant and paid builds.

5,000 bonus coins included · ≈ $12
See an example

The main outcome

More than a query. A ready-to-use 1C result

Both builders are included in the free Demo. In the full edition, the AI agent inspects result data — with your confirmation.

Where you hit the wall: two tables plus a calculation between them, or data from different subsystems — the Universal Report no longer covers it, and an external report with a form and parameters is usually treated as a specialist's job. Lensa builds one from your description of the task; assembling the file costs one coin.

01

External report .erf

A form, parameters, data composition schema, and result output. Included in Demo.

02

Data processor .epf

Result preview and an action for selected rows. Included in Demo.

03

Validated on your database

Queries run in both editions. In the full edition the agent inspects result rows once you confirm it.

The Console without AI

A strong tool in its own right

AI speeds up the path, but your purchase includes a complete engineering console. Its local tools work without AI and spend no coins.

Editor and query builder

A professional query editor with autocomplete and highlighting, a query builder, parameters, and temporary tables.

Data you can see

Render images directly in query results, inspect the data, and export the outcome to Excel.

A result that looks like a 1C report

Render the result through DCS with a selected layout and familiar 1C formatting instead of a raw table.

Long tasks run in the background

Run heavy queries as background jobs, track their progress, and keep the interface free for other work.

Three steps

From a question to a working solution

The result stays visible at every step: validate it, refine it in a dialog, and only then package it for users.

1

Describe the task

Use plain language, without choosing tables, fields, or query syntax.

2

Validate on your database

Lensa reads the metadata of the running database as you go, with no configuration export.

3

Build the result

Choose a report or a data processor and get a ready form for deployment.

4

Check that it adds up

The query runs against your database and the whole result is visible.

In a batch of several temporary tables you can open the result of each one separately and see exactly where a number comes together — the package navigator is a full edition feature. LenSA explains the query piece by piece: which tables are joined, where the filters come from, what each temporary table contributes.

What is read in your database, and what leaves it

Lensa walks the metadata of the running database as the conversation goes: it reads catalogs, registers and their structure exactly where the task leads. No configuration export is needed, and its knowledge never goes stale — change the database and it sees it at once. What travels outward is the query text and the names of metadata objects, not the contents of your database.

Rows from your database are sent only on separate confirmation: you see the exact query text before it runs, and declining does not break the conversation. The free Demo edition has no such capability at all.

Worked example

A complete workflow, not a list of promises

See how LenSA explores a configuration, builds and fixes the query, and turns the result into a ready tool.

  • Works with metadata from your actual database
  • Explains a query part by part — which tables join, where the filters come from, what each temporary table contributes — yours or someone else's
  • AI query correction and precise refinements in a dialog
  • Delivers the result to the editor, Excel, a data composition schema, or an external report
  • The AI model gets the query text and metadata object names; result rows only with your confirmation

Who it is for

One tool for different 1C roles

The Console does not replace professional knowledge where it matters. It removes the manual work between a question, a query, and a usable result.

1C analyst

Builds reports on sales, stock, warehouses and receipts without waiting for a developer.

1C developer

Writes, validates, and optimizes complex queries faster.

Support specialist

Understands an unfamiliar customer database through its metadata.

Beginning specialist

Solves an applied task without knowing the 1C query language.

When the decision is not yours to make

The comparison you can show a manager sits on its own page: what a finished task costs with LenSA, and what the same work costs when contracted out. The figures are ours, measured on a real session, not market estimates.

Task economics in figures

Path to a result

What changes with LenSA

LenSA does not ask an AI model to guess the internal structure of a database: it supplies real metadata and guides the query to a verifiable result.
01

Traditional console

The query is written and debugged manually.

The result is a data table.
02

AI query console

AI helps create and correct the query text.

The result is a working query.
03

LenSA

AI uses exact object and field names from your configuration together with proven join patterns. LenSA runs the query and validates the result on the database.

The result is a cleaner, better-structured query, a ready report, or a data processor.

Product editions

Demo or full version

The Demo is free and never expires. Both editions run the query against your database and show the complete result. In the full edition, the AI agent inspects result data — with your confirmation.
Demo edition build 2026.09.07.2
Free
Download and use with no expiry date
500 trial AI coins after signup
One-step signup, no card required · The Console also works without coins
what the demo includes Collapse
  • A complete query console: builder, parameters, autosave, query files
  • The query runs against your database and the complete result remains visible
  • AI agent: metadata and applying edits
  • AI models in the Demo: GLM 5.2, Muse Spark 1.2, DeepSeek v4 Pro, Gemini 3.7 Flash, MiniMax M3, and Gemma 4. The roster may change

In both editions the AI assistant is paid for with coins by actual usage.

Detailed Demo and full-version comparison
FeatureDemoFull version
AI agent: metadata and applying editsYesYes
Run queries against the database and inspect the resultYesYes
Instant query syntax checkYesYes
The AI agent inspects result data — with your confirmationNoYes
Available AI models
  • GLM 5.2
  • Muse Spark 1.2
  • DeepSeek v4 Pro
  • Gemini 3.7 Flash
  • MiniMax M3
  • Gemma 4
All available AI models
Additional AI models, including advanced and flagship optionsNoYes
Dialogue context limit120,000 tokens200,000 tokens
External report .erf builderYesYes
External data processor .epf builderYesYes
Standard 1C query builderYesYes
Query editor and conversation historyYesYes
Professional query editor with autocomplete and syntax highlightingNoYes
Package and temporary table navigatorNoYes
Query parametersYesYes
Result row limitYesYes
AutosaveYesYes
Background executionNoYes
Query text normalizationYesYes
Text and executable code for ConfiguratorYesYes
Conversation history and selectionYesYes
.q1cs and .q1c query filesYesYes
Additional interface themesNoYes

Clear economics

What AI work costs

Actual spend depends on the scope of the task, the selected AI model, and the amount of context used.

100–200 coins A small request on basic models
about 800 coins An average request on Claude Sonnet ≈ $2
500 coins Trial coins on signup Enough for 2–5 small requests
A purchase brings 5,000 coins
And a whole task: a finished report with a form and a data composition schema A measured session from a real user: one evening from the brief to the finished file, and the figure covers every follow-up turn of the conversation. How many you will need depends on the task and your experience — which is why we name the final bill rather than a number of attempts.

Coins are charged per request to the AI model, including follow-up turns in the conversation — "add the manufacturer", "drop that filter" — and per finished file built: an external data processor or report. A build is not a neural network, it is server-side work priced per file. A network failure, a missing model response and a failed build all charge nothing. The cost of every turn shows in the conversation right away, not as a total at the end.

You pick the model

LenSA is not tied to a single neural network: the catalogue holds models of different tiers, from basic to flagship, and you can switch between turns of the same conversation. The price gap between the lowest and the highest tier is measured in multiples, and that lever is yours. No provider keys, accounts or subscriptions of your own: one balance, paid in coins.

The list holds only networks that passed a run on basic 1C tasks: one that still fails the task on the second attempt does not make it into the catalogue.

If something does not work Write to support@digitalmechanics.dev. Requests are accepted both by email and through the feedback form — all of them are taken into work. A reply goes to those who wrote by email, within 5 business days.