Public relations AI agent · Deepfake response

Misinformation and Deepfake Detection AI Agent

Swear only to what you can read back: preserve the item, extract the fields, mark what the score cannot establish, and leave the notice to the named counsel who signs it.

Typical delivery
4–6 weeks
Deployment
Your stack
Named counsel
Oath first
After launch
Agent Care

What this agent does

Assembles the notice, never swears to it

In

  1. 01

    An item is preserved, and the score it drew is written down beside it, never inside it.

  2. 02

    A detector reading perfect on the benchmark reads worse than a coin toss on real audio.

Reason

  1. 03

    Synthetic is not false, false is not unlawful, and only unlawful content can be notified.

  2. 04

    A Content Credential is missing, and C2PA says in terms that its absence proves nothing.

  3. 05

    The perjury clause at 512(c)(3)(A)(vi) covers the fields, so the extraction is what is sworn.

Decide

  1. 06

    Good faith sits at clause (v), and under Lenz that belief is held by the signer or by nobody.

  2. 07

    A counter-notice lands, and 512(g)(2)(C) opens the put-back window the record must survive.

Out

  1. 08

    No instrument reaches the item, and that is recorded as the finding rather than as a gap.

  2. 09

    Execute write actions only inside the approval boundaries agreed during implementation.

Product statement

Preservation, extraction and drafting belong to the agent. The oath, and the name that goes under it, belong to the counsel who is cross-examined on it later.

Example workflow

One notice, item to filing

  1. 1Item referred inA flagged upload, a customer report, a broadcast clip or a link handed over by the listening lane
  2. 2Item preserved and datedThe capture, the hash, the archive location, the uploader account and the hour it was taken
  3. 3Notice fields extractedThe work asserted, the locations, the account identifiers and detector confidence
  4. 4Controls appliedProvenance checks, own-content checks, instrument checks and extraction confidence

No human action required

Stages 1 to 4 run unaided, and nothing is filed at any of them — the agent is assembling, and the counsel lane opens at the signature gate.

5DecisionSplits at the signature gate
A work the company owns

Goes to named counsel to sign.

Anything wholly synthetic

Adds a brand-protection read first.

Counsel review

The packet is held with its capture, its score and the steps the agent could not take.

Sign · Amend packet · Send to brand-protection review

Filed — by named counsel

  1. 6Matter and takedown records updatedOnly where write access and records policy allow it
  2. 7Outcome evaluatedNotice outcomes, counter-notices received, counsel corrections and what the later review turned up

Corrections

Each correction counsel makes counts in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Signing a notice under penalty of perjury.
    • Judging an item unlawful, not merely synthetic.
    • Deciding to sue rather than watch it return.
    • Naming the copyrighted work said to be infringed.
  • Automation boundary

    Agent acts unaided

    • ✓Preserve the item, hash it and date the capture.
    • ✓Extract each notice field and record which source produced it.
    • ✓Mark which of the three translations it cannot make on this item.
    • ✓Hold the packet for the named counsel who signs it.

    Nothing is filed with a platform except by named counsel, inside the agreed boundaries.

    • Forming the good-faith belief clause (v) wants.
    • Telling a platform the packet is complete.
    • Choosing which remedy an item is filed under.
  • Changes to the holding rules or the signature gate.

Example output

One notice packet, annotated

A listening agent found the item and a crisis agent will answer for it; this one assembles what a signature would rest on. Below is one packet exactly as the agent leaves it.

Notice packet · single item

Illustrative example
Item
Executive video, one account
Recorded as
Synthetic on the audio track, unproven
Classified
Score only
Evidence of record
Capture hash, 4 August 2026
Confidence
Held unsigned
Held for
Named counsel, by name

As received

Drawn from the capture, the hash and the account record, and it asserts nothing those three establish.

What the record holds

  • Capture and hash
  • Uploader account
  • Cross-post graph

Why no filing here

Swearing to the notice is an act that named counsel performs alone.

What the score decides

Below the configured threshold a packet gets a brand-protection read before counsel sees it.

Action

SignAmend packetSend to brand-protection review

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Each notice

From the item it names

03Notice

Where the notice is filed

Under Lenz the good-faith belief is subjective and must be held by the signer, and willful blindness can supply the knowing misrepresentation that 512(f) punishes.

01Approved path

Sworn to, not proven

The oath at clause (vi) runs to the fields a machine filled in; the claim that the item infringes sits at clause (v), on good faith alone.

02Human review

What was checked, and not found

No instrument consulted takes a detection score as grounds for removal. TAKE IT DOWN runs a forty-eight-hour clock on intimate imagery alone; both California deepfake statutes are permanently enjoined; NO FAKES is still a bill; and the FTC rule on impersonating an individual was never finalised.

04

Build an evidence trail

The item, the score it was given and the person who swore to the notice stay together.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Detection and provenance

    • Detector APIs
    • manifest readers
    • Model scores and credentials
  • Evidence preservation

    • Capture
    • hashing
    • archives
    • Timestamped copies of items
  • Notice and platform channels

    • Platform notice forms
    • DSA portals
    • Filed notices and the responses

Agent

Misinformation and deepfake notice

  • Reads the item
  • Assembles the packet
  • Holds the signature
  • Matter and counsel records

    • Matter management
    • legal hold
    • Signature trails and filed versions
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six filters between the score and the oath

Six filters in one train, the last the tightest. What survives is set out in the map below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeNarrow the agent to preservation only when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt and detector versions, and note the version each packet was scored under.Track
L4TraceabilityRecord each packet, the capture under it, the score it drew and each read of the file.Record
L3Counsel releaseHold the packet for named counsel; the hold governs filing, not whether the item is fake.Gate
L2Assertion guardrailsTest each packet against its capture, and return one asserting more than the capture carries.Restrict
L1Confidence thresholdsRoute a thin or single-modality packet to a brand-protection read before counsel sees it.Require review
Model corePacket assembled — the capture, the score, the work asserted and what stays unproven
L1 – L2
Test whether a notice may be sworn
L3
Leaves the oath to named counsel
L4 – L5
Keep the notice and the item behind it
L6
Escalates to a human read when signals degrade

How Nestack evaluates it

Evaluate the whole assembly run — not only the notice that gets signed.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the notice a platform receives

  1. E1Final-output evaluationDid the packet stay inside what the capture actually established?
  2. E2Step-level evaluationDid the agent read the right item, the right account and the live holding rules?
  3. E3Tool evaluationDid it read and write the correct item and the correct matter record?
  4. E4Confidence calibrationDo low-confidence packets actually attract more counsel corrections?
  5. E5Slice evaluationHow does performance change from one generator class to another?
  6. E6Business outcomeHow many packets needed a correction before counsel signed one?

Floor — the packet read back in discovery

Failure modes

Where each failure originates in the agent

Seven failure modes, each set at the stage it first shows itself.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • UD-03

      Absence read as evidence

      A missing credential is worked as a fakery signal.

    Stage gathers

    The item, the score, the account and the hash

  2. 02 · Reasoning

    2 modes

    • UD-04

      Benchmark score read as field

      A laboratory number is used as a live one.

    • UD-06

      Our own footage flagged fake

      An authentic clip trips the detector.

    Stage proposes

    The capture, the score, the work and what stays open

  3. 03 · Tool / write

    2 modes

    • UD-02

      Copyright asserted, none owned

      The notice names a work nobody here holds.

    • UD-05

      No instrument reaches the item

      The packet is sound and nothing removes it.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • UD-01

      Channel suspended for volume

      The platform stops processing what we send.

    Stage returns

    The notice a platform reads and counsel signs

  5. 05 · Change / Version

    1 mode

    • UD-07

      The put-back nobody diarised

      The item returns while the case reads closed.

    Stage tracks

    Model, prompt, filing rules and detector builds

  • Sev-1 · a notice sworn on an unread score
  • Sev-2 · an authentic clip is notified
  • Sev-3 · score thin, packet held back
See the complete Deepfake-notice failure-mode catalogue

Affected slices

Unseen generators absorb the corrections

A class-level packet-accuracy figure can read clean while unseen generators carry most of the counsel corrections. Nestack reports the correction rate by generator class, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Unseen generator families9.5%3.7×Review
Cloned executive audio6.7%2.6×Review
Re-encoded platform copies4.2%1.6×Watch
Known generator families2.2%0.9×Normal

Bar: correction-rate lift vs. known-generator baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

What an unread score costs

A cycle shuts when the notice sworn on a score nobody opened is a standing case. That suite is what the next takedown filed is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Correction rate rises on unseen generator families.

  2. 02

    Diagnose

    The notice sworn out on a number nobody opened, against a clip the company had itself upscaled, is worked backwards until one cause is left standing.

  3. 03

    Improve

    Notices ship numbered, and the items behind them travel attached.

  4. 04

    Verify

    Each touched notice case is run again, and one red holds it back.

  5. 05

    Learn

    The case is kept, and the review rules are amended in that same commit.

  6. Learn → Detect

    The return edge. The next item meets a suite one case longer.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, packet assembly, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Deepfake-notification and automation-boundary scope.Week 1
  2. 02Detection, capture and notice sources.Week 1, Week 2
  3. 03Statutory-instrument and counsel-signature mapping.Week 1, Week 2
  4. 04Item capture and intake.Week 2
  5. 05Field binding and packet logic.Week 2, Week 3
  6. 06Confidence scoring and review routing.Week 3
  7. 07Counsel signature workflow.Week 3, Week 4
  8. 08Matter-system integration.Week 5
  9. 09Review and notice cases.Week 4, Week 5
  10. 10Guardrails and filing controls.Week 4
  11. 11Notice-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne generator class, one cycleProductionProduction notice workflowAdvancedMultiple platforms / jurisdictions
Introduced at Pilot
Assembly to your holding rules✓✓✓
Named counsel signature✓✓✓
Detector-baseline measurement✓✓✓
Introduced at Production
Reporting by generator class—✓✓
Brand-protection review workflow in your systems—✓✓
Approved matter write-back—✓✓
Detector-and-registry integration—✓✓
Introduced at Advanced
Multi-regime notice rules——✓
Cross-platform notice packs——✓
High item volume——✓
Multi-platform notice controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, item volume, signature controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your live item classes and the instrument each one points at

    Holding-rule capture and detector versioning

    Week 1
  2. 02Representative items, captures and past notices

    Field binding, packet logic and the detector baseline

    Week 2
  3. 03Your escalation path and the counsel it names

    Holding-rule mapping, instrument binding and the automation boundary

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Detection, capture and matter source assessment, then integration setup

    Week 2
  5. 05Notices you would not want cross-examined

    Review cases and the evaluation round

    Week 4
  6. 06What no score may be sworn to

    Confidence scoring, review routing, guardrails and filing controls

    Week 3
  7. 07Named counsel who signs the notice

    Handover to named counsel, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

A band here is as wide as the phase actually costs, so week five shows a pair rather than a tidier blank.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Holding-rule discovery, detector versioning and the automation boundary

W2Detection and capture integration and the packet baseline

W3Field binding, packet logic and filing controls

W4Evaluation suite, review cases and failure-mode testing

W5Matter-system integration, pilot items and targeted corrections

W6One detection cycle run under the brand-protection lead, then Agent Care handover

Reading the band
No bar runs past the weeks its own work is named for, and week five is the one overlap.
At the end of W6
Once the notice record validates, Agent Care adopts the agent.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Public relations AI agent

Build a deepfake detection agent around the notice your last incident nearly swore out.

Show us one item you wanted taken down and the notice you drafted for it. Not how fast the detector flagged it. Which work you named as infringed, what the score actually established, and whose name would have gone under the oath. A score nobody opened comes back as a case.

Typical delivery
4–6 weeks
Deployment
Your flagged items
Named counsel
Oath first
After launch
Agent Care available

Nestack Agents · Deepfake response

AGT-COM-08 · Agent Care available after launch

Build a deepfake detection agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your items

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.