•AI integrationfor FileMaker developers and their clients
•Trainingclasses, free and paid
•Coachingone to one, on your own solution
navarre.ai
Who
FileMaker since 1987
Certified on every version.
Who
Matt Navarre
•fmSearchResultsnow Mitos
•fmLognow Clio
•Podcasting since 2008FileMaker Talk, then ClarisTalk AI with Cris Ippolite
The rule
FileMaker is the source of truth
The system of record.
AI reads, sorts and writes words. It does not own your data.
Today
The seven
01
Semantic search
Then & now
02
Unlimited extension
Beside
03
Ask your data
Beside
04
Logs in the AI age
Beside
05
Record checker
Inside
06
Data entry assistant
Inside
07
Automation
Aletheia preview
First · the change under all seven
A tool that runs beside FileMaker
The change · what it is not
Almost nothing in your file
It is not
A plug-in, or an add-on
A custom function
An extra file
Lots of scripts or calcs
Lots of layouts
Per tool, it is
One script
A couple of calcs
A couple of layouts
The change · what it is
One container
It holds
Its own code
And
Its own data
And
Its own screens
Kept by
A coding agent
The change · the key
100% of the code is maintained by prompts in Claude Code
The change · where it runs
Anywhere Docker runs
Fly
one command, a few euros a month
AWS, Azure, Google
the cloud you already pay for
Your FileMaker Server box
same machine, same building
A desktop
any Mac or PC with Docker
A mini PC or a NAS
in the office cupboard
Your own rack
a VM like any other
Render, Railway, DigitalOcean
if you prefer them
Nowhere new
it is one image, so you can move it
The change · why it matters
What this makes possible
Now possible
Jobs that take minutes
Data too big for a script
Python, or any language
Always on: schedules, webhooks
A screen with no FileMaker
Anything with an API
01
Semantic search. Then and now
Find what you meant, not what you typed.
01
Demo
Old and new. Side by side
1:30
Method 1 · inside the file
All in FileMaker. Two paths
Easy
You type
A search term
Perform Semantic Find
A flat table
Result
Ranked
Fuller
You type
Search term
Then
Enriched
Then
Embedded
Then
Semantic find
Result
Ranked
01 Search · enrichment
Enrichment
A name
Bob Whitfield, cardiac clinic
becomes
Robert WhitfieldWhitfeildBobbyheart cliniccardiology
A product
Canon EOS R5
becomes
Canon R5EOS R5EOSR5mirrorless camerafull-frame
01 Search · the extra power
One to one. Many to many
Without enrichment
One way in
A record matches the words it holds. Type something else and you miss it.
With enrichment
Many ways in
Many phrasings reach one record, and one question reaches many records: "heart doctors" finds every cardiology clinic, whatever it is called.
Method 1 · all in FileMaker
What you carry
The challenges
Re-embedding records, every time they change
Re-enriching records, so the text is worth embedding
The limits of the native Perform Semantic Find
Method 2 · the new way
Fly does the work in a Web Viewer
Docker · container · Fly
You type
Search term
Beside
Enriched
Beside
Embedded
Beside
Semantic find
Web Viewer
Ranked
Method 2 · the new way
What it asks of you
The list
A Fly account, with a card on file
OData and the Data API switched on
A read-only account: fmodata and fmrest only
One AI key
Someone to own it
01 Search · what decides what
Every step is a switch
Combine them per table. All on is not the goal.
At sync
Enrich this table?
Every keystroke
Text search, record and enrichment
On Return
Read it, embed it
The merge
Exact hits are never removed
01 Search · pro and con
Pro and con
Pro
One box, every table
Ranked, with a reason
Exact hits are never removed
Each stage is a switch
Con
A second thing to run
A copy of the text outside the file
The index syncs, so it lags
01 Search · back to FileMaker
Let’s install
$ curl -fsSL https://navarre.ai/get/mitos | sh
It asks for a name, then it builds.
02
Unlimited extension. It is your code
02 Extension
Mitos: unlimited new features
with Claude Code, or Codex, or any coding agent
Learn from clicksWrite PythonFind, download and integrate outside dataCustom login credentialsConnect to non-FileMaker sourcesA sixth search stageAnother model providerA new query kindTeach it names and nicknamesChange what a record meansPer-user table limitsRun a local modelWrite back to FileMaker
02 Extension · today
What I will build, live
Claude Code · mitos
Mitos already logs every search and every click. When a search like this one
was clicked through to a record before, raise that record in the list, and say why on the row.
It reads the repo first. It waits for my word before any deploy.
02 Extension · the shape
It learns from clicks
Already there
Every click, logged
Claude Code adds
A score for past clicks
Then
The same search
On the row
Clicked here before
02
Demo
Start the build
0:30
03
Ask your data. Reports are just the start
03
Demo
Ask. Get meaningful answers
1:00
03 Ask your data · the shape
Beside the file
Your file
Read-only account
Sync
OData, only what changed
Beside
DuckDB
a million rows grouped in 8 ms
Either
A meaningful answer
Or
Something to look at
03 Ask your data · pro and con
Pro and con
Pro
Any question, in English
Big data stays fast
Print it to PDF
Ask again, dig deeper
Con
A copy of the data outside FileMaker
It answers from the last sync
Somebody has to own the box
03 Ask your data · back to FileMaker
Let’s install
$ curl -fsSL https://navarre.ai/get/pythia | sh
It asks for a name, then it builds.
Demo
Look inside
04
Clio
Logs. Boring. Let’s see what this AI thing is, though.
04
Demo
What Clio does
1:00
Method 1 · OnWindowTransaction
You commit a record
Invoices · 4211
CustomerNordic Ferries AB
StatusDraftSent
Total1,250.001,480.00
Modified byanna
✓ Commit
Method 1 · OnWindowTransaction
One trigger. The whole file
Invoices · 4211
Total1,480.00
File Options › Script Triggers
OnWindowTransaction
Set at file level. One checkbox, plus one unstored calc per key table.
It reads the whole tree and tells you what matters.
05
Demo
Open a record. See a short analysis
1:00
05 Record checker · the shape
It never makes you wait
On record load
Start in the background
Load
The record tree
One call
The AI analyzes it
Write
A related record
05 Record checker · the answer
A fixed shape, every time
The schema you send with the record
{ "summary": "one sentence a human would say",
"odd": ["values that do not fit the rest"],
"missing": ["fields a record like this usually has"],
"next": ["what to do about it"] }
05 Record checker · what it does
Surfaces useful info
Demo
Look inside
06
A data entry assistant. Paste, and it fills
Every field that can be set, is set. You check it.
06
Demo
Paste. Done
1:00
06 Data entry · the shape
Your fields drive it
Any text
Pasted in one field
Your field list
Sent with it
One call
JSON back
The script
Fills the fields
06 Data entry · the point
It takes what is relevant. It ignores the rest
•Fields the text says nothing about are left alone
Demo
Look inside
07
Automation. The Aletheia preview
Super early.
07 Automation · Aletheia
She runs the work you give her
Always open
Bridges
Real time, system to system.
Public
Forms
Hosted, reaching into FileMaker. No copy of FileMaker needed.