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Newsletter Talk to sales

AI Adoption Agents3-7 day first readout

AI adoption agents for developer products.

tokens& learns which developer motions create product usage across Product Radar, docs, launches, credits, campaigns, projects, and customer-instrumented usage events. Sessions and events are optional signal sources, not the product.

Know who used you, what they built, why they activated, which accounts matter, and what your team should do next.

Built for teams selling to developers.

Plan adoption pilot See pilot readout Claim company

Blueprint

what drives adoption

Agents

campaign, account, builder, exec

Revenue

developer activity to action

LLM providersAgent frameworksVector databasesRAG infraObservabilityDev platforms

Sample enterprise pilot readout showing source-labeled adoption questions, a funnel, and a next action pack. — A product-artifact preview of the pilot readout: account intelligence, adoption funnel, ROI context, and next actions.

ACCOUNT_DETECTEDCAMPAIGN_ATTRIBUTEDRETENTION_CONFIRMEDROI_REPORT_READYCOMPETITOR_SIGNALCRM_EXPORTACCOUNT_DETECTEDCAMPAIGN_ATTRIBUTEDRETENTION_CONFIRMEDROI_REPORT_READYCOMPETITOR_SIGNALCRM_EXPORTACCOUNT_DETECTEDCAMPAIGN_ATTRIBUTEDRETENTION_CONFIRMEDROI_REPORT_READYCOMPETITOR_SIGNALCRM_EXPORT

Adoption graph

How developer activity becomes enterprise follow-up.

sample path

AI adoption agents: explicit adoption signals, usage proof, account intelligence, ROI, next actions.

Plan pilot See pilot

3-7 days

to first assisted readout

Dev-first graph

search, save, compare, build, and perk signals

One signal

deepens activation and retention proof

Board-ready

account, ROI, and campaign readouts

AI cannot replace this

The old channels for reaching builders are breaking down.

Senior developers are hard to reach through generic campaigns. Product-led paths, useful build prompts, credits, docs, and explicit usage signals create adoption online and offline.

1971 — 2026

Cold email

Generic AI outreach is filtered, archived, or ignored before builders see the offer.

1876 — 2026

Cold calling

Technical buyers rarely pick up for developer tooling, and the context is too thin.

1994 — 2026

Paid ads

Useful for awareness, weak for proving real product activation and retained usage.

2003 — 2026

LinkedIn InMail

Can create intent, but it needs tracked programs and product proof to become pipeline.

Still works

tokens& sessions

Sessions are one channel. The platform turns sessions, launches, docs, credits, and product usage into one measured adoption loop.

Adoption Blueprint

A developer-product blueprint for what works.

Inspired by revenue playbooks, but built for developer products: tokens& learns which signals lead to real activation, then agents recommend the next campaign, builder route, account follow-up, and executive readout. Agents cite the underlying campaign, builder, account, product, and usage evidence.

Inputs

Explicit adoption signals

SearchesSavesComparisonsProjectsDocs clicksCampaign UTMsAdoption session contractsCredits/perksSessionsSDK/API eventsRetentionAccount domains

Outputs

Agent-recommended action

Account intelligenceCampaign ROIBuilder follow-upProduct frictionExpansion motionsExec reports

Campaign Agent

Recommends the next adoption motion by audience, channel, product surface, and expected proof.

Account Agent

Finds high-intent accounts, explains the evidence, and routes the right follow-up.

Builder Agent

Routes qualified builders into sessions, credits, challenges, projects, and feedback programs.

Competitive Agent

Explains where buyers compare you against alternatives and which proof gaps to close.

Exec Agent

Turns weekly adoption signals into board-ready readouts, exports, and next actions.

Adoption signal sources

Wherever builders touch your product, agents turn it into next actions.

Product Radar, docs campaigns, credits, sessions, workshops, and usage instrumentation feed the same adoption graph. The enterprise product is the agent layer: measure adoption, explain why it happened, route follow-up, and expand usage.

Developers working on laptops during a tokens& hackathon at an AWS venue.

San Francisco

Hackathon lab

Builders ship with customer tools, publish proof, and expose which stacks turned into real usage.

Signal captured

Projects, tool usage, repo proof

Agent output

Qualified builders and account domains

Best cadence

Weekend or launch sprint

Composite buyer proof

Role-based voices rotate slowly until named customer quotes are permissioned.

20 ICP roles

VP Developer Marketing

Database platform

“We could finally separate event buzz from builders who shipped something, then route the strongest accounts while intent was still warm.”

Event ROI and account routing · Hackathon lab

Developer Relations Lead

AI infrastructure

“The useful part was not the weekend. It was the proof trail: repos, docs usage, qualified domains, and follow-up timing.”

Builder proof after launch · Hackathon lab

Head of Partnerships

Cloud platform

“This gave us a partner motion with evidence: who attended, which docs they opened, and the follow-up list sales could defend.”

Partner campaign handoff · Partner activation

Builder activation network

Route qualified builders into useful work, then let agents explain what happened.

High-signal AI builders are already using tokens& to discover, compare, build, and publish proof. For paid adoption pilots, tokens& can route qualified builders into docs paths, launches, sessions, challenges, credits, and feedback programs.

Plan adoption pilot See pilot readout

Built for products developers must try before buyers believe

Data and AI platformsDatabasesCloud platformsLLM appsObservabilityAuth and identityDeveloper infrastructure

AI agent questions

Every adoption motion should create next actions.

Fortune 500 buyers do not buy a directory or an event package. They buy agents that explain adoption, prove usage, and route the next revenue move.

Who is using us?

Resolve builders, teams, domains, and cohorts before they become late-stage CRM records.

What are they building?

Connect docs clicks, SDK starts, product surfaces, projects, and retained workflows.

Which campaigns worked?

Compare Product Radar, LinkedIn, launches, docs, credits, rooftop dinners, poker nights, workshops, custom sessions, and owned campaigns by activation and retention.

What should we do next?

Let adoption agents turn evidence into sales routes, DevRel plays, product fixes, reports, and exports.

How it works

From developer activity to AI-recommended action.

The more developers use tokens&, the better the adoption agents get: searches, saves, comparisons, builds, credits, sessions, docs paths, campaigns, usage events, and published projects all compound into the blueprint.

Demand

builds, rankings, saves

Activate

SDK init, first project

Retain

repeat usage

Convert

accounts, ROI, rank

Adoption velocity

tracked after launch

company setup

Map your products

Confirm product surfaces, competitors, docs, campaigns, and the adoption events agents should watch.

signal graph

Learn the adoption blueprint

Combine builder actions, campaign sources, projects, docs paths, and explicit usage events into one pattern library.

AI actions

Let agents recommend

Campaign, account, builder, competitive, and exec agents explain what changed and what to do next.

revenue actions

Export next actions

Ship the account list, builder route, ROI report, competitive brief, exec summary, and next campaign.

Pilot preview

Run the pilot. Prove what worked.

Start with one measured adoption motion, then show executives the usage, accounts, and next actions it created.

Pick the adoption motion

One pilot, three commercial paths.

Starts without SDK

Choose the buyer goal. We route builders to useful work, measure explicit adoption signals, and turn activity into account-ready proof.

Recommended pilot: Guided activation

Get builders to one real product success, online or offline.

RunTracked path + build prompt

MeasureClicks, first success, retention, accounts

Sales getsFollow-up list with confidence

AI infraAuth / securityData platformsCloud / devtools

Plan adoption pilot See sample readout

Pilot report format

AI adoption agent readout

Sample QA readout

327

registered

source-matched

213

attended

workshop cohort

first successes

usage event

retained

7-day cohort

target accounts

sales-ready

Activation funnel

Source to retained usage

Registered327

Event source

Attended213

Attendance match

Docs or API action141

Usage signal

First success43

Verified event

Retained17

7-day cohort

Account opportunities

Account match, confidence, next action

Enterprise AI team

5 builders - RAG workflow retained

Workshop + docs86% confidence

Route architect session

Cloud platform buyer

3 builders - Team invite + deploy proof

Credit claim78% confidence

Send enterprise follow-up

8 more target accounts queued for export, agent follow-up, and CRM routing.

Export accounts

Ask agent

Create follow-up

What ships in week one

One pilot package, ready for every stakeholder.

DevRel, Product, Growth, Partnerships, GTM, and executives get the same evidence in the format they need.

DevRelProductGrowthPartnershipsGTMExecutives

Setup pack

Company profile, product surfaces, competitors, community links, and campaign draft.

Tracking path

Dry-run event payload, source tags, and the one product signal needed for deeper proof.

Pilot report

Funnel, retained builders, account opportunities, ROI assumptions, and next campaign.

Action exports

Builder/account rows, CRM-ready follow-ups, exec summary, and AI agent recommendations.

FAQ

Setup, trust, and handoff.

How much setup is required?

Start with a claimed profile, explicit builder signals, and one confirmed campaign. Add one customer-instrumented product event when you want verified activation and retention.

Can we trust the numbers?

Every report separates sample data, public signals, customer-provided events, account matches, and assumptions so teams can see what is verified.

What happens after the pilot?

You get a readout, account list, campaign recommendation, export paths, and the next adoption motion to grow product usage.

Talk to sales

Book an adoption pilot.

Tell us your product, category, and growth goal. We will map the fastest path to more developer usage and a first executive readout.

Start with explicit builder signals and one customer-instrumented activation event. Keep sample data, assumptions, and verified usage clearly separated.

Preparing page

Loading product graph, proof, and adoption context.

AI Adoption Agents3-7 day first readout

AI adoption agents for developer products.

Know who used you, what they built, why they activated, which accounts matter, and what your team should do next.

Built for teams selling to developers.

Plan adoption pilot See pilot readout Claim company

Blueprint

what drives adoption

Agents

campaign, account, builder, exec

Revenue

developer activity to action

LLM providersAgent frameworksVector databasesRAG infraObservabilityDev platforms

Adoption graph

How developer activity becomes enterprise follow-up.

sample path

AI adoption agents: explicit adoption signals, usage proof, account intelligence, ROI, next actions.

Plan pilot See pilot

3-7 days

to first assisted readout

Dev-first graph

search, save, compare, build, and perk signals

One signal

deepens activation and retention proof

Board-ready

account, ROI, and campaign readouts

AI cannot replace this

The old channels for reaching builders are breaking down.

Senior developers are hard to reach through generic campaigns. Product-led paths, useful build prompts, credits, docs, and explicit usage signals create adoption online and offline.

1971 — 2026

Cold email

Generic AI outreach is filtered, archived, or ignored before builders see the offer.

1876 — 2026

Cold calling

Technical buyers rarely pick up for developer tooling, and the context is too thin.

1994 — 2026

Paid ads

Useful for awareness, weak for proving real product activation and retained usage.

2003 — 2026

LinkedIn InMail

Can create intent, but it needs tracked programs and product proof to become pipeline.

Still works

tokens& sessions

Sessions are one channel. The platform turns sessions, launches, docs, credits, and product usage into one measured adoption loop.

Adoption Blueprint

A developer-product blueprint for what works.

Inputs

Explicit adoption signals

SearchesSavesComparisonsProjectsDocs clicksCampaign UTMsAdoption session contractsCredits/perksSessionsSDK/API eventsRetentionAccount domains

Outputs

Agent-recommended action

Account intelligenceCampaign ROIBuilder follow-upProduct frictionExpansion motionsExec reports

Campaign Agent

Recommends the next adoption motion by audience, channel, product surface, and expected proof.

Account Agent

Finds high-intent accounts, explains the evidence, and routes the right follow-up.

Builder Agent

Routes qualified builders into sessions, credits, challenges, projects, and feedback programs.

Competitive Agent

Explains where buyers compare you against alternatives and which proof gaps to close.

Exec Agent

Turns weekly adoption signals into board-ready readouts, exports, and next actions.

Adoption signal sources

Wherever builders touch your product, agents turn it into next actions.

San Francisco

Hackathon lab

Builders ship with customer tools, publish proof, and expose which stacks turned into real usage.

Signal captured

Projects, tool usage, repo proof

Agent output

Qualified builders and account domains

Best cadence

Weekend or launch sprint

Composite buyer proof

Role-based voices rotate slowly until named customer quotes are permissioned.

20 ICP roles

VP Developer Marketing

Database platform

“We could finally separate event buzz from builders who shipped something, then route the strongest accounts while intent was still warm.”

Event ROI and account routing · Hackathon lab

Developer Relations Lead

AI infrastructure

“The useful part was not the weekend. It was the proof trail: repos, docs usage, qualified domains, and follow-up timing.”

Builder proof after launch · Hackathon lab

Head of Partnerships

Cloud platform

“This gave us a partner motion with evidence: who attended, which docs they opened, and the follow-up list sales could defend.”

Partner campaign handoff · Partner activation

Builder activation network

Route qualified builders into useful work, then let agents explain what happened.

Plan adoption pilot See pilot readout

Built for products developers must try before buyers believe

Data and AI platformsDatabasesCloud platformsLLM appsObservabilityAuth and identityDeveloper infrastructure

AI agent questions

Every adoption motion should create next actions.

Fortune 500 buyers do not buy a directory or an event package. They buy agents that explain adoption, prove usage, and route the next revenue move.

Who is using us?

Resolve builders, teams, domains, and cohorts before they become late-stage CRM records.

What are they building?

Connect docs clicks, SDK starts, product surfaces, projects, and retained workflows.

Which campaigns worked?

Compare Product Radar, LinkedIn, launches, docs, credits, rooftop dinners, poker nights, workshops, custom sessions, and owned campaigns by activation and retention.

What should we do next?

Let adoption agents turn evidence into sales routes, DevRel plays, product fixes, reports, and exports.

How it works

From developer activity to AI-recommended action.

Demand

builds, rankings, saves

Activate

SDK init, first project

Retain

repeat usage

Convert

accounts, ROI, rank

Adoption velocity

tracked after launch

company setup

Map your products

Confirm product surfaces, competitors, docs, campaigns, and the adoption events agents should watch.

signal graph

Learn the adoption blueprint

Combine builder actions, campaign sources, projects, docs paths, and explicit usage events into one pattern library.

AI actions

Let agents recommend

Campaign, account, builder, competitive, and exec agents explain what changed and what to do next.

revenue actions

Export next actions

Ship the account list, builder route, ROI report, competitive brief, exec summary, and next campaign.

Pilot preview

Run the pilot. Prove what worked.

Start with one measured adoption motion, then show executives the usage, accounts, and next actions it created.

Pick the adoption motion

One pilot, three commercial paths.

Starts without SDK

Choose the buyer goal. We route builders to useful work, measure explicit adoption signals, and turn activity into account-ready proof.

Recommended pilot: Guided activation

Get builders to one real product success, online or offline.

RunTracked path + build prompt

MeasureClicks, first success, retention, accounts

Sales getsFollow-up list with confidence

AI infraAuth / securityData platformsCloud / devtools

Plan adoption pilot See sample readout

Pilot report format

AI adoption agent readout

Sample QA readout

327

registered

source-matched

213

attended

workshop cohort

first successes

usage event

retained

7-day cohort

target accounts

sales-ready

Activation funnel

Source to retained usage

Registered327

Event source

Attended213

Attendance match

Docs or API action141

Usage signal

First success43

Verified event

Retained17

7-day cohort

Account opportunities

Account match, confidence, next action

Enterprise AI team

5 builders - RAG workflow retained

Workshop + docs86% confidence

Route architect session

Cloud platform buyer

3 builders - Team invite + deploy proof

Credit claim78% confidence

Send enterprise follow-up

8 more target accounts queued for export, agent follow-up, and CRM routing.

Export accounts

Ask agent

Create follow-up

What ships in week one

One pilot package, ready for every stakeholder.

DevRel, Product, Growth, Partnerships, GTM, and executives get the same evidence in the format they need.

DevRelProductGrowthPartnershipsGTMExecutives

Setup pack

Company profile, product surfaces, competitors, community links, and campaign draft.

Tracking path

Dry-run event payload, source tags, and the one product signal needed for deeper proof.

Pilot report

Funnel, retained builders, account opportunities, ROI assumptions, and next campaign.

Action exports

Builder/account rows, CRM-ready follow-ups, exec summary, and AI agent recommendations.

FAQ

Setup, trust, and handoff.

How much setup is required?

Start with a claimed profile, explicit builder signals, and one confirmed campaign. Add one customer-instrumented product event when you want verified activation and retention.

Can we trust the numbers?

Every report separates sample data, public signals, customer-provided events, account matches, and assumptions so teams can see what is verified.

What happens after the pilot?

You get a readout, account list, campaign recommendation, export paths, and the next adoption motion to grow product usage.

Talk to sales

Book an adoption pilot.

Tell us your product, category, and growth goal. We will map the fastest path to more developer usage and a first executive readout.

Start with explicit builder signals and one customer-instrumented activation event. Keep sample data, assumptions, and verified usage clearly separated.

AI adoption agents for developer products.

The old channels for reaching builders are breaking down.

Cold email

Cold calling

Paid ads

LinkedIn InMail

tokens& sessions

A developer-product blueprint for what works.

Explicit adoption signals

Agent-recommended action

Campaign Agent

Account Agent

Builder Agent

Competitive Agent

Exec Agent

Wherever builders touch your product, agents turn it into next actions.

Hackathon lab

Partner activation

Hands-on build session

Route qualified builders into useful work, then let agents explain what happened.

Every adoption motion should create next actions.

Who is using us?

What are they building?

Which campaigns worked?

What should we do next?

From developer activity to AI-recommended action.

Map your products

Learn the adoption blueprint

Let agents recommend

Export next actions

Run the pilot. Prove what worked.

One pilot, three commercial paths.

AI adoption agent readout

One pilot package, ready for every stakeholder.

Setup pack

Tracking path

Pilot report

Action exports

Setup, trust, and handoff.

How much setup is required?

Can we trust the numbers?

What happens after the pilot?

Book an adoption pilot.

AI adoption agents for developer products.

The old channels for reaching builders are breaking down.

Cold email

Cold calling

Paid ads

LinkedIn InMail

tokens& sessions

A developer-product blueprint for what works.

Explicit adoption signals

Agent-recommended action

Campaign Agent

Account Agent

Builder Agent

Competitive Agent

Exec Agent

Wherever builders touch your product, agents turn it into next actions.

Hackathon lab

Partner activation

Hands-on build session

Route qualified builders into useful work, then let agents explain what happened.

Every adoption motion should create next actions.

Who is using us?

What are they building?

Which campaigns worked?

What should we do next?

From developer activity to AI-recommended action.

Map your products

Learn the adoption blueprint

Let agents recommend

Export next actions

Run the pilot. Prove what worked.

One pilot, three commercial paths.

AI adoption agent readout

One pilot package, ready for every stakeholder.

Setup pack

Tracking path

Pilot report