Electronics AI agent · Design and EDA

Design & EDA Copilot AI Agent

Draft RTL, constraints and review notes against the repository the querying engineer is authorised to reach, and hold anything touching a safety-related item for the named engineer who owns it.

Typical delivery
4–6 weeks
Deployment
Your stack
Named engineer
Access-scoped
After launch
Agent Care

What this agent does

Drafts inside the boundary, decides nothing

In

  1. 01

    Ingesting the repository files, constraint sets and review history the querying engineer is authorised to reach.

  2. 02

    Normalising block names, revisions and tool versions, and carrying each suggestion forward with its source file.

Reason

  1. 03

    Drafting RTL, constraint edits, schematic notes and testbench scaffolding as proposals, never as committed work.

  2. 04

    Applying the design rules, naming conventions and review checklists configured for the programme.

  3. 05

    Binding each suggestion to the file, revision and section behind it, and marking what the repository leaves open.

Decide

  1. 06

    Flagging anything that reaches a safety-related item, an unclear requirement or a claim the sources do not carry.

  2. 07

    Routing every suggestion to the named engineer who owns the block.

Out

  1. 08

    Retaining the model version, the retrieved inputs, the suggestion and the engineer's decision on the design record.

  2. 09

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

Product statement

The agent proposes; the named engineer decides what enters the design, and your organisation stays responsible for what ships.

Example workflow

One request, query to design record

  1. 1Design request receivedRTL query, constraint change, layout note or review request
  2. 2Context retrievedRepository files, revisions and review history inside the querying engineer's access set
  3. 3Suggestion draftedProposed edit, the files behind it, flagged lines and confidence
  4. 4Controls appliedAccess-set checks, source-binding checks, safety-item flags and confidence threshold

No human action required

Stages 1 to 4 run unaided and nothing enters the design at any of them — the agent is drafting, and the engineer's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to the named engineer to accept.

Low confidence

Adds a verification-lead read first.

Engineer acceptance

The suggestion is held with its retrieved sources, its flagged lines and the confidence.

Accept · Edit · Send to verification review

Accepted — merged by the engineer

  1. 6Design systems updatedOnly where write access and approval policy allow it
  2. 7Outcome evaluatedEdit distance, flagged-line outcomes, review findings and defects found after acceptance

Edits

Every engineer edit is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Releasing technology to anyone outside the access set.
    • Signing off verification, coverage or a formal proof.
    • Accepting a change into a safety-related item.
    • Deciding an engineer's export or citizenship status.
  • Automation boundary

    Agent acts unaided

    • ✓Draft RTL, constraints and notes inside the permitted repository.
    • ✓Search and explain what the repository already holds.
    • ✓Lint drafts against the programme's configured rules.
    • ✓Flag what a named engineer should weigh, and hold the suggestion.

    Any write happens inside the boundaries agreed at implementation, never ahead of acceptance.

    • Judging what your EDA tool licences permit.
    • Claiming ownership or inventorship of its output.
    • Taping out or releasing to manufacturing.
  • Changes to access sets, rules or approval policy.

Example output

One suggestion, annotated

Everything the agent proposes is attached to the files it was drawn from.

Design copilot output · single suggestion

Illustrative example
Block
Clock-domain crossing
Suggested edit
Add a synchroniser on the control handshake before the capture domain
Stated value
2 stages
Source of record
Programme design rules
Confidence
89%
Held for
Named block owner

As received

Taken from the repository and the design rule on record — nothing on this side is written by the agent.

Source files used

  • Block RTL revision
  • Programme design rules
  • Prior review finding

Why this suggestion

It restates a rule the programme holds, on a revision the engineer can open.

What the score decides

Below the threshold the suggestion picks up a verification read before the engineer sees it.

Action

AcceptEditSend to verification 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

Every request

From the design repository

03Drafting

Draft from the repository

Draw on the files the engineer may reach and the design rules configured for the programme.

01Approved path

Draft inside the boundary

Routine drafting, repository search and lint arrive already done.

02Human review

Send review to the risky changes

Safety-item touches and low-confidence suggestions are marked, and that review — not the agent — is what earns confidence in the tool.

04

Build an evidence trail

The suggestion, the technology it drew on and the engineer who accepted it stay in the design record.

Integrations

Typical integrations

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

  • Design data management

    • Perforce Helix Core
    • Git
    • Subversion
  • Requirements and issues

    • Jama Connect
    • Polarion
    • Jira
    • Azure DevOps
  • PLM and release

    • Teamcenter
    • Windchill
    • Altium 365
    • Aras

Agent

Design & EDA copilot

  • Reads inside scope
  • Drafts the change
  • Holds for the engineer
  • Verification and CI

    • Jenkins
    • GitLab CI
    • Confluence
    • SharePoint
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

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

Agent controls

Six layers between the model and the design

The controls sit inside one another. What none of them catches is set out below.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modeNarrow the agent to lint and search when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, retrieval-index and design-rule changes.Track
L4TraceabilityRecord the retrieved inputs, the suggestion, the flags, the edits and who accepted.Record
L3Engineer acceptanceHold suggestions for the named engineer; it governs entry, not whether an accepted change is right.Gate
L2Access guardrailsTest each retrieval against the engineer's access set in your own tenant index; a failure returns nothing.Restrict
L1Confidence thresholdsRoute low-confidence suggestions to a verification read before the engineer sees them.Require review
Model coreSuggestion produced — proposed edit, retrieved sources, flagged lines and confidence
L1 – L2
Test whether a suggestion may stand
L3
Puts entry in an engineer's hands
L4 – L5
Keep the suggestion and what it was drawn from
L6
Narrows to lint and search when signals degrade

How Nestack evaluates it

Evaluate the design workflow — not only the finished suggestion.

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

Surface — the change that reaches the design

  1. E1Final-output evaluationDid every claim in the suggestion match the file it cited?
  2. E2Step-level evaluationDid the agent read the right repository, revision and rule set?
  3. E3Tool evaluationDid it retrieve inside the querying engineer's access set?
  4. E4Confidence calibrationDo low-confidence suggestions actually attract more engineer edits?
  5. E5Slice evaluationHow does performance change across specific design cohorts?
  6. E6Business outcomeHow many suggestions needed an edit, or a fix found in later review?

Floor — the outcome the programme answers for

Failure modes

Where each failure originates in the agent

Seven failure modes, placed at the stage each one originates.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • EV-03

      Out-of-scope retrieval

      A file outside the engineer's access set is reached.

    Stage gathers

    Repository files, revisions, rules and review history

  2. 02 · Reasoning

    2 modes

    • EV-04

      Unsupported design reference

      A rule or revision is asserted that the repository does not hold.

    • EV-06

      Over-stated correctness

      An unproved property is described as verified.

    Stage proposes

    Proposed edit, retrieved sources and confidence

  3. 03 · Tool / write

    2 modes

    • EV-02

      Write outside the boundary

      A change is staged where the boundary excludes it.

    • EV-05

      Cross-project carry-forward

      Material from another project's repository enters a suggestion.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • EV-01

      Provenance omitted

      The suggestion arrives without the file and revision behind it.

    Stage returns

    The suggestion the engineer accepts into the design

  5. 05 · Change / Version

    1 mode

    • EV-07

      Silent capability drift

      A model or index change widens what the agent will assert.

    Stage tracks

    Model, prompt, retrieval index and design rules

  • Sev-1 · technology released outside the set
  • Sev-2 · a wrong change enters the design
  • Sev-3 · retrieval degrades, suggestion held
See the complete Electronics failure-mode catalogue

Affected slices

Overall quality can hide one bad cohort

An aggregate edit rate can sit over one cohort carrying the rework — mixed-signal and analogue blocks, where the repository is thinnest. Nestack reports the edit rate by slice.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Mixed-signal and analogue blocks7.0%3.6×Review
Third-party IP integration5.8%3.0×Review
Clock-domain crossings3.5%1.8×Watch
Documented digital blocks1.6%0.8×Normal

Bar: engineer-edit-rate lift vs. documented-digital baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

Every cycle ends by adding a test

The cycle ends when a case exists in the suite, not when the miss was discussed. That suite is what the next suggestion into the design is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Engineer-edit rate rises in a design slice.

  2. 02

    Diagnose

    The suggestion is the unit — read beside the files it cited until one cause is left.

  3. 03

    Improve

    Changes carry a version and the designs that prompted them.

  4. 04

    Verify

    Release is held until the affected cases pass.

  5. 05

    Learn

    The case is kept permanently, and the review rules move with it.

  6. Learn → Detect

    The return edge. What comes next is tested against a longer suite.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. The week structure follows the six-week plan — discovery, repositories, drafting workflow, evaluation, integration, then production validation and handover.

Workstream

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

  1. 01Design workflow discovery and automation-boundary definition.Week 1
  2. 02Repository and access-set assessment.Week 1, Week 2
  3. 03Design-rule, review-checklist and provenance mapping.Week 1, Week 2
  4. 04Repository ingestion and normalisation.Week 2
  5. 05Drafting logic and source binding.Week 2, Week 3
  6. 06Confidence scoring and flag routing.Week 3
  7. 07Engineer acceptance workflow.Week 3, Week 4
  8. 08Design-management system integration.Week 5
  9. 09Boundary and provenance cases.Week 4, Week 5
  10. 10Guardrails and access controls.Week 4
  11. 11Design-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 block, one teamProductionProduction design repositoriesAdvancedMultiple programmes / sites
Introduced at Pilot
Drafting inside the access set✓✓✓
Engineer acceptance✓✓✓
Suggestion-quality baseline✓✓✓
Introduced at Production
Reporting by block and owner—✓✓
Acceptance workflow in your systems—✓✓
Approved write-back—✓✓
Design-management integration—✓✓
Introduced at Advanced
Multi-programme rule sets——✓
Multi-stage engineering approvals——✓
High request volume——✓
Multi-site project controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, request volume, approval 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 repository structure and access sets

    Repository ingestion and access-set mapping

    Week 1
  2. 02Representative accepted design changes

    Drafting baseline, rule extraction and source binding

    Week 2
  3. 03Your design rules and tool entitlements

    Design-rule mapping and automation-boundary definition

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

    Repository and access-set assessment, then integration setup

    Week 2
  5. 05Suggestions that should never have surfaced

    Provenance cases and failure-mode testing

    Week 4
  6. 06What must reach a named engineer before it lands

    Confidence scoring, flag routing, guardrails and access controls

    Week 3
  7. 07Named engineers to review suggestions

    Engineer acceptance workflow, 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

The bands follow the actual work, which is why the fifth week doubles rather than pads.

Phase

W1

W2

W3

W4

W5

W6

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

Week focus

W1Design workflow discovery, rule mapping and the automation boundary

W2Repository integration and the drafting baseline

W3Drafting workflow, confidence logic and access controls

W4Evaluation suite, provenance checks and failure-mode testing

W5Design-system integration, pilot blocks and targeted corrections

W6One block taken through review under the design lead, then handover

Reading the band
Each bar covers only the weeks its work is named in. The week 5 overlap is real, not padding.
At the end of W6
The block closes validation and Agent Care owns the running agent.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Electronics AI agent

Build a design copilot around who may query what, and against what.

Show us your repositories, your design rules and who accepts a change. Which engineers may reach which technology, and can you evidence that today? We map the boundary from there.

Typical delivery
4–6 weeks
Deployment
Your repositories
Engineer acceptance
Access-scoped
After launch
Agent Care available

Nestack Agents · Design and EDA copilot

AGT-EL-09 · Agent Care available after launch

Build a design copilot

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

About you
Your designs

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